Add files using upload-large-folder tool
Browse files- .gitattributes +4 -0
- LICENSE.pdf +3 -0
- README.md +131 -0
- SHA256SUMS +31 -0
- assets/original_vs_sdnq_raw.png +3 -0
- assets/original_vs_sdnq_raw.webp +3 -0
- benchmark/original.metrics.csv +11 -0
- benchmark/original.metrics.jsonl +10 -0
- benchmark/original.summary.json +23 -0
- benchmark/sdnq.metrics.csv +11 -0
- benchmark/sdnq.metrics.jsonl +10 -0
- benchmark/sdnq.summary.json +23 -0
- benchmark/smoke-findings.json +10 -0
- benchmark/summary.json +72 -0
- lab_metadata.json +24 -0
- model_index.json +41 -0
- prompts.json +52 -0
- quantization_manifest.json +53 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +66 -0
- text_encoder/model-00001-of-00002.safetensors +3 -0
- text_encoder/model-00002-of-00002.safetensors +3 -0
- text_encoder/model.safetensors.index.json +721 -0
- tokenizer/chat_template.jinja +120 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +30 -0
- transformer/config.json +89 -0
- transformer/diffusion_pytorch_model-00001-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00002.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +953 -0
- transformer/quantization_config.json +63 -0
- vae/config.json +58 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: other
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| 5 |
+
base_model:
|
| 6 |
+
- krea/Krea-2-Raw
|
| 7 |
+
base_model_relation: quantized
|
| 8 |
+
library_name: diffusers
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| 9 |
+
pipeline_tag: text-to-image
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| 10 |
+
tags:
|
| 11 |
+
- diffusers
|
| 12 |
+
- safetensors
|
| 13 |
+
- text-to-image
|
| 14 |
+
- krea2
|
| 15 |
+
- sdnq
|
| 16 |
+
- uint4
|
| 17 |
+
- 4-bit
|
| 18 |
+
- quantized
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
# Krea 2 Raw SDNQ UINT4
|
| 22 |
+
|
| 23 |
+
SDNQ UINT4 quantization of [krea/Krea-2-Raw](https://huggingface.co/krea/Krea-2-Raw) for Diffusers `Krea2Pipeline`.
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
## What Is Quantized
|
| 28 |
+
|
| 29 |
+
Selected recipe: `uint4-static-transformer-only`.
|
| 30 |
+
|
| 31 |
+
Quantized components: `transformer`.
|
| 32 |
+
Tokenizer, scheduler, and non-selected pipeline components are copied from the original Diffusers pipeline.
|
| 33 |
+
|
| 34 |
+
The initial smoke sweep also tried SDNQ packing for the text encoder, but standard Diffusers/Transformers loading rejected the packed `Qwen3VLModel` text-encoder weights. This release therefore keeps the text encoder loadable in bf16 and quantizes the Krea transformer only.
|
| 35 |
+
|
| 36 |
+
## Benchmark Setup
|
| 37 |
+
|
| 38 |
+
- Pipeline: `Krea2Pipeline`
|
| 39 |
+
- Resolution: 1024x1024
|
| 40 |
+
- Steps: 52
|
| 41 |
+
- Guidance scale: 3.5
|
| 42 |
+
- Seed base: 61000
|
| 43 |
+
- Distilled mode: `false`
|
| 44 |
+
- Torch dtype: bfloat16
|
| 45 |
+
- Attention backend: diffusers native attention
|
| 46 |
+
- Prompt set: 10 prompts covering simple scenes, public-domain style stress tests, tricky composition, long Latin text, long Cyrillic text, and mixed Latin/Cyrillic diagrams
|
| 47 |
+
- Hardware: NVIDIA RTX PRO 6000 Blackwell Server Edition on a disposable RunPod pod with local container disk
|
| 48 |
+
|
| 49 |
+
## Benchmark Summary
|
| 50 |
+
|
| 51 |
+
| Model | Load | First gen | Hot mean | Hot max | Load GPU peak | Gen GPU peak | Torch peak |
|
| 52 |
+
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
|
| 53 |
+
| original | 8.442 s | 163.733 s | 163.403 s | 163.422 s | 33487 MB | 44154 MB | 42717.1767578125 MB |
|
| 54 |
+
| uint4-static-transformer-only | 5.954 s | 160.935 s | 157.422 s | 157.457 s | 16041 MB | 26788 MB | 25272.396484375 MB |
|
| 55 |
+
|
| 56 |
+
Storage size of this release directory: 15.38 GB. Quantized local checkpoint size before packaging: 15.36 GB.
|
| 57 |
+
|
| 58 |
+
Raw per-prompt metrics are available in `benchmark/*.csv` and `benchmark/*.jsonl`. The combined benchmark summary is in `benchmark/summary.json`.
|
| 59 |
+
|
| 60 |
+
## Usage
|
| 61 |
+
|
| 62 |
+
```bash
|
| 63 |
+
pip install -U git+https://github.com/huggingface/diffusers.git transformers accelerate safetensors huggingface_hub sdnq
|
| 64 |
+
```
|
| 65 |
+
|
| 66 |
+
```python
|
| 67 |
+
import torch
|
| 68 |
+
from diffusers import Krea2Pipeline
|
| 69 |
+
from sdnq.loader import apply_sdnq_options_to_model
|
| 70 |
+
|
| 71 |
+
repo_id = "WaveCut/Krea-2-Raw-SDNQ-uint4"
|
| 72 |
+
device = "cuda"
|
| 73 |
+
|
| 74 |
+
pipe = Krea2Pipeline.from_pretrained(
|
| 75 |
+
repo_id,
|
| 76 |
+
torch_dtype=torch.bfloat16,
|
| 77 |
+
is_distilled=False,
|
| 78 |
+
)
|
| 79 |
+
|
| 80 |
+
for name in ['transformer']:
|
| 81 |
+
module = getattr(pipe, name, None)
|
| 82 |
+
if module is not None:
|
| 83 |
+
setattr(
|
| 84 |
+
pipe,
|
| 85 |
+
name,
|
| 86 |
+
apply_sdnq_options_to_model(module, dtype=torch.bfloat16, use_quantized_matmul=True),
|
| 87 |
+
)
|
| 88 |
+
|
| 89 |
+
pipe.to(device)
|
| 90 |
+
image = pipe(
|
| 91 |
+
prompt="A clean technical poster with readable labels",
|
| 92 |
+
height=1024,
|
| 93 |
+
width=1024,
|
| 94 |
+
num_inference_steps=52,
|
| 95 |
+
guidance_scale=3.5,
|
| 96 |
+
generator=torch.Generator(device=device).manual_seed(0),
|
| 97 |
+
).images[0]
|
| 98 |
+
image.save("krea2-sdnq.png")
|
| 99 |
+
```
|
| 100 |
+
|
| 101 |
+
## Quantization Recipe
|
| 102 |
+
|
| 103 |
+
```json
|
| 104 |
+
{
|
| 105 |
+
"dynamic_loss_threshold": null,
|
| 106 |
+
"modules": [
|
| 107 |
+
"transformer"
|
| 108 |
+
],
|
| 109 |
+
"name": "uint4-static-transformer-only",
|
| 110 |
+
"quant_conv": false,
|
| 111 |
+
"quant_embedding": false,
|
| 112 |
+
"svd_rank": 32,
|
| 113 |
+
"svd_steps": 32,
|
| 114 |
+
"use_dynamic_quantization": false,
|
| 115 |
+
"use_svd": false,
|
| 116 |
+
"weights_dtype": "uint4"
|
| 117 |
+
}
|
| 118 |
+
```
|
| 119 |
+
|
| 120 |
+
The checkpoint was produced by loading the original Diffusers pipeline, applying `sdnq_post_load_quant` only to the listed pipeline components, and saving with `save_sdnq_model(..., is_pipeline=True)`.
|
| 121 |
+
|
| 122 |
+
## Limitations
|
| 123 |
+
|
| 124 |
+
- This is a quantized derivative and inherits the base model behavior, limits, and license terms.
|
| 125 |
+
- The comparison set is a deployment smoke benchmark, not a preference study or FID evaluation.
|
| 126 |
+
- Long text, small labels, and mixed Cyrillic/Latin diagrams should be inspected manually before production use.
|
| 127 |
+
- Benchmark numbers depend on GPU, driver, PyTorch, Diffusers, SDNQ, and CUDA versions.
|
| 128 |
+
|
| 129 |
+
## License
|
| 130 |
+
|
| 131 |
+
This repository contains a quantized derivative of `krea/Krea-2-Raw`. Upstream license material copied during packaging: `LICENSE.pdf`. Review the upstream Krea model card and license before use or redistribution.
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b82a2805162bde714a4eb27b9063c4fc3345d08a30be055134a6160e5430ba74 ./LICENSE.pdf
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| 3 |
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aee71f25554db6ca841e9b28315825e4ab6132e5d362e5eeffb2ecb6ca93ac1e ./assets/original_vs_sdnq_raw.webp
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assets/original_vs_sdnq_raw.png
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Git LFS Details
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assets/original_vs_sdnq_raw.webp
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benchmark/original.metrics.csv
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category,elapsed_seconds,first_generation_seconds,gen_peak_nvidia_smi_mb,gen_torch_allocated_mb,gen_torch_peak_allocated_mb,gen_torch_peak_reserved_mb,gen_torch_reserved_mb,guidance,height,hot_max_seconds,hot_mean_seconds,image_path,is_distilled,label,load_peak_nvidia_smi_mb,load_seconds,load_torch_allocated_mb,load_torch_peak_allocated_mb,load_torch_peak_reserved_mb,load_torch_reserved_mb,maxrss_mb,model,model_key,prompt,prompt_id,prompt_idx,quantized,run_idx,seed,steps,width
|
| 2 |
+
product detail,163.73263843916357,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.73263843916357,163.73263843916357,results/benchmark/raw/original/images/p00-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A precise studio product photograph of a translucent graphite espresso machine on a brushed steel counter, tiny engraved labels, clean reflections, realistic materials, sharp edges",studio-product,0,False,0,61000,52,1024
|
| 3 |
+
portrait,163.3958865404129,163.73263843916357,44154,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.3958865404129,163.3958865404129,results/benchmark/raw/original/images/p01-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A natural-light portrait of a sleep-deprived spacecraft mechanic in a cramped orbital workshop, believable skin, oil stains, soft window light, shallow depth of field",human-portrait,1,False,0,61001,52,1024
|
| 4 |
+
public-domain artist style,163.39290373586118,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.3958865404129,163.39439513813704,results/benchmark/raw/original/images/p02-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A public-domain Alphonse Mucha inspired Art Nouveau theater poster for a fictional moon observatory, ornate floral border, elegant flat colors, decorative halo, readable title MOON GARDEN",mucha-poster,2,False,0,61002,52,1024
|
| 5 |
+
public-domain artist style,163.39093228057027,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.3958865404129,163.39324085228145,results/benchmark/raw/original/images/p03-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A public-domain Hokusai inspired woodblock print of a compact electric ferry crossing a stormy canal, bold wave shapes, limited ink colors, paper grain, tiny passengers visible",hokusai-wave,3,False,0,61003,52,1024
|
| 6 |
+
popular image style,163.40533112362027,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.40533112362027,163.39626342011616,results/benchmark/raw/original/images/p04-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A Bauhaus risograph exhibition poster, strict red blue yellow geometry, off-register ink, grainy paper, bold sans-serif headline SYSTEM FORM, small schedule text and ticket numbers",bauhaus-risograph,4,False,0,61004,52,1024
|
| 7 |
+
technical diagram,163.3889823332429,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.40533112362027,163.3948072027415,results/benchmark/raw/original/images/p05-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A clean technical cutaway diagram of a compact hydrogen ferry drivetrain, readable labels, arrows, exploded components, white background, exact industrial illustration",technical-cutaway,5,False,0,61005,52,1024
|
| 8 |
+
long Latin text,163.41213518567383,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.41213518567383,163.3976951998969,results/benchmark/raw/original/images/p06-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A large chalkboard in a design studio with one continuous readable paragraph written in careful white chalk: The prototype must remain quiet under load, preserve every user setting, recover from failed uploads, and report exact timing numbers before anyone calls the experiment finished.",long-latin-text,6,False,0,61006,52,1024
|
| 9 |
+
long Cyrillic text,163.4224559403956,163.73263843916357,44154,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.4224559403956,163.40123244853956,results/benchmark/raw/original/images/p07-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"Большая школьная доска в светлой аудитории, на ней аккуратно мелом написан длинный русский текст: Квантованная модель должна сохранять композицию, не лома��ь мелкие подписи, честно показывать скорость и память, а все артефакты нужно проверить перед публикацией.",long-cyrillic-text,7,False,0,61007,52,1024
|
| 10 |
+
mixed Latin Cyrillic diagram,163.4060163088143,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.4224559403956,163.4018304310739,results/benchmark/raw/original/images/p08-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A bilingual technical wall chart mixing English and Russian labels: INPUT LATENTS, scheduler, трансформер, text encoder, VAE decoder, output image; neat arrows, small legends, clean grid, readable typography",mixed-diagram,8,False,0,61008,52,1024
|
| 11 |
+
scene composition,163.41161981225014,163.73263843916357,43595,33167.74169921875,42717.1767578125,42926.0,42926.0,3.5,1024,163.4224559403956,163.40291814009348,results/benchmark/raw/original/images/p09-r00.png,False,original,33487,8.442133091390133,33159.61572265625,33159.61572265625,33178.0,33178.0,11368.7109375,krea/Krea-2-Raw,raw,"A rainy evening street in Warsaw seen through a tram window, neon signs reflected in wet asphalt, cyclists, kiosks, apartment balconies, cinematic realism without oversaturation",wide-city-scene,9,False,0,61009,52,1024
|
benchmark/original.metrics.jsonl
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
+
{"category": "product detail", "elapsed_seconds": 163.73263843916357, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.73263843916357, "hot_mean_seconds": 163.73263843916357, "image_path": "results/benchmark/raw/original/images/p00-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A precise studio product photograph of a translucent graphite espresso machine on a brushed steel counter, tiny engraved labels, clean reflections, realistic materials, sharp edges", "prompt_id": "studio-product", "prompt_idx": 0, "quantized": false, "run_idx": 0, "seed": 61000, "steps": 52, "width": 1024}
|
| 2 |
+
{"category": "portrait", "elapsed_seconds": 163.3958865404129, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 44154, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.3958865404129, "hot_mean_seconds": 163.3958865404129, "image_path": "results/benchmark/raw/original/images/p01-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A natural-light portrait of a sleep-deprived spacecraft mechanic in a cramped orbital workshop, believable skin, oil stains, soft window light, shallow depth of field", "prompt_id": "human-portrait", "prompt_idx": 1, "quantized": false, "run_idx": 0, "seed": 61001, "steps": 52, "width": 1024}
|
| 3 |
+
{"category": "public-domain artist style", "elapsed_seconds": 163.39290373586118, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.3958865404129, "hot_mean_seconds": 163.39439513813704, "image_path": "results/benchmark/raw/original/images/p02-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A public-domain Alphonse Mucha inspired Art Nouveau theater poster for a fictional moon observatory, ornate floral border, elegant flat colors, decorative halo, readable title MOON GARDEN", "prompt_id": "mucha-poster", "prompt_idx": 2, "quantized": false, "run_idx": 0, "seed": 61002, "steps": 52, "width": 1024}
|
| 4 |
+
{"category": "public-domain artist style", "elapsed_seconds": 163.39093228057027, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.3958865404129, "hot_mean_seconds": 163.39324085228145, "image_path": "results/benchmark/raw/original/images/p03-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A public-domain Hokusai inspired woodblock print of a compact electric ferry crossing a stormy canal, bold wave shapes, limited ink colors, paper grain, tiny passengers visible", "prompt_id": "hokusai-wave", "prompt_idx": 3, "quantized": false, "run_idx": 0, "seed": 61003, "steps": 52, "width": 1024}
|
| 5 |
+
{"category": "popular image style", "elapsed_seconds": 163.40533112362027, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.40533112362027, "hot_mean_seconds": 163.39626342011616, "image_path": "results/benchmark/raw/original/images/p04-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A Bauhaus risograph exhibition poster, strict red blue yellow geometry, off-register ink, grainy paper, bold sans-serif headline SYSTEM FORM, small schedule text and ticket numbers", "prompt_id": "bauhaus-risograph", "prompt_idx": 4, "quantized": false, "run_idx": 0, "seed": 61004, "steps": 52, "width": 1024}
|
| 6 |
+
{"category": "technical diagram", "elapsed_seconds": 163.3889823332429, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.40533112362027, "hot_mean_seconds": 163.3948072027415, "image_path": "results/benchmark/raw/original/images/p05-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A clean technical cutaway diagram of a compact hydrogen ferry drivetrain, readable labels, arrows, exploded components, white background, exact industrial illustration", "prompt_id": "technical-cutaway", "prompt_idx": 5, "quantized": false, "run_idx": 0, "seed": 61005, "steps": 52, "width": 1024}
|
| 7 |
+
{"category": "long Latin text", "elapsed_seconds": 163.41213518567383, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.41213518567383, "hot_mean_seconds": 163.3976951998969, "image_path": "results/benchmark/raw/original/images/p06-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A large chalkboard in a design studio with one continuous readable paragraph written in careful white chalk: The prototype must remain quiet under load, preserve every user setting, recover from failed uploads, and report exact timing numbers before anyone calls the experiment finished.", "prompt_id": "long-latin-text", "prompt_idx": 6, "quantized": false, "run_idx": 0, "seed": 61006, "steps": 52, "width": 1024}
|
| 8 |
+
{"category": "long Cyrillic text", "elapsed_seconds": 163.4224559403956, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 44154, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.4224559403956, "hot_mean_seconds": 163.40123244853956, "image_path": "results/benchmark/raw/original/images/p07-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "Большая школьная доска в светлой аудитории, на ней аккуратно мелом написан длинный русский текст: Квантованная модель должна сохранять композицию, не ломать мелкие подписи, честно показывать скорость и память, а все артефакты нужно проверить перед публикацией.", "prompt_id": "long-cyrillic-text", "prompt_idx": 7, "quantized": false, "run_idx": 0, "seed": 61007, "steps": 52, "width": 1024}
|
| 9 |
+
{"category": "mixed Latin Cyrillic diagram", "elapsed_seconds": 163.4060163088143, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.4224559403956, "hot_mean_seconds": 163.4018304310739, "image_path": "results/benchmark/raw/original/images/p08-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A bilingual technical wall chart mixing English and Russian labels: INPUT LATENTS, scheduler, трансформер, text encoder, VAE decoder, output image; neat arrows, small legends, clean grid, readable typography", "prompt_id": "mixed-diagram", "prompt_idx": 8, "quantized": false, "run_idx": 0, "seed": 61008, "steps": 52, "width": 1024}
|
| 10 |
+
{"category": "scene composition", "elapsed_seconds": 163.41161981225014, "first_generation_seconds": 163.73263843916357, "gen_peak_nvidia_smi_mb": 43595, "gen_torch_allocated_mb": 33167.74169921875, "gen_torch_peak_allocated_mb": 42717.1767578125, "gen_torch_peak_reserved_mb": 42926.0, "gen_torch_reserved_mb": 42926.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 163.4224559403956, "hot_mean_seconds": 163.40291814009348, "image_path": "results/benchmark/raw/original/images/p09-r00.png", "is_distilled": false, "label": "original", "load_peak_nvidia_smi_mb": 33487, "load_seconds": 8.442133091390133, "load_torch_allocated_mb": 33159.61572265625, "load_torch_peak_allocated_mb": 33159.61572265625, "load_torch_peak_reserved_mb": 33178.0, "load_torch_reserved_mb": 33178.0, "maxrss_mb": 11368.7109375, "model": "krea/Krea-2-Raw", "model_key": "raw", "prompt": "A rainy evening street in Warsaw seen through a tram window, neon signs reflected in wet asphalt, cyclists, kiosks, apartment balconies, cinematic realism without oversaturation", "prompt_id": "wide-city-scene", "prompt_idx": 9, "quantized": false, "run_idx": 0, "seed": 61009, "steps": 52, "width": 1024}
|
benchmark/original.summary.json
ADDED
|
@@ -0,0 +1,23 @@
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+
{
|
| 2 |
+
"first_generation_seconds": 163.73263843916357,
|
| 3 |
+
"gen_peak_nvidia_smi_mb": 44154,
|
| 4 |
+
"gen_torch_peak_allocated_mb": 42717.1767578125,
|
| 5 |
+
"gen_torch_peak_reserved_mb": 42926.0,
|
| 6 |
+
"hot_max_seconds": 163.4224559403956,
|
| 7 |
+
"hot_mean_seconds": 163.40291814009348,
|
| 8 |
+
"label": "original",
|
| 9 |
+
"maxrss_mb": 11368.7109375,
|
| 10 |
+
"model": "krea/Krea-2-Raw",
|
| 11 |
+
"model_key": "raw",
|
| 12 |
+
"prompt_count": 10,
|
| 13 |
+
"runs": 10,
|
| 14 |
+
"settings": {
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"guidance": 3.5,
|
| 17 |
+
"height": 1024,
|
| 18 |
+
"is_distilled": false,
|
| 19 |
+
"seed_base": 61000,
|
| 20 |
+
"steps": 52,
|
| 21 |
+
"width": 1024
|
| 22 |
+
}
|
| 23 |
+
}
|
benchmark/sdnq.metrics.csv
ADDED
|
@@ -0,0 +1,11 @@
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| 1 |
+
category,elapsed_seconds,first_generation_seconds,gen_peak_nvidia_smi_mb,gen_torch_allocated_mb,gen_torch_peak_allocated_mb,gen_torch_peak_reserved_mb,gen_torch_reserved_mb,guidance,height,hot_max_seconds,hot_mean_seconds,image_path,is_distilled,label,load_peak_nvidia_smi_mb,load_seconds,load_torch_allocated_mb,load_torch_peak_allocated_mb,load_torch_peak_reserved_mb,load_torch_reserved_mb,maxrss_mb,model,model_key,prompt,prompt_id,prompt_idx,quantized,run_idx,seed,steps,width
|
| 2 |
+
product detail,160.9345742147416,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,160.9345742147416,160.9345742147416,results/benchmark/raw/uint4-static-transformer-only/images/p00-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A precise studio product photograph of a translucent graphite espresso machine on a brushed steel counter, tiny engraved labels, clean reflections, realistic materials, sharp edges",studio-product,0,True,0,61000,52,1024
|
| 3 |
+
portrait,157.4271422624588,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.4271422624588,157.4271422624588,results/benchmark/raw/uint4-static-transformer-only/images/p01-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A natural-light portrait of a sleep-deprived spacecraft mechanic in a cramped orbital workshop, believable skin, oil stains, soft window light, shallow depth of field",human-portrait,1,True,0,61001,52,1024
|
| 4 |
+
public-domain artist style,157.42446030303836,160.9345742147416,26788,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.4271422624588,157.42580128274858,results/benchmark/raw/uint4-static-transformer-only/images/p02-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A public-domain Alphonse Mucha inspired Art Nouveau theater poster for a fictional moon observatory, ornate floral border, elegant flat colors, decorative halo, readable title MOON GARDEN",mucha-poster,2,True,0,61002,52,1024
|
| 5 |
+
public-domain artist style,157.45691105537117,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.43617120695612,results/benchmark/raw/uint4-static-transformer-only/images/p03-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A public-domain Hokusai inspired woodblock print of a compact electric ferry crossing a stormy canal, bold wave shapes, limited ink colors, paper grain, tiny passengers visible",hokusai-wave,3,True,0,61003,52,1024
|
| 6 |
+
popular image style,157.41188778728247,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.4301003520377,results/benchmark/raw/uint4-static-transformer-only/images/p04-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A Bauhaus risograph exhibition poster, strict red blue yellow geometry, off-register ink, grainy paper, bold sans-serif headline SYSTEM FORM, small schedule text and ticket numbers",bauhaus-risograph,4,True,0,61004,52,1024
|
| 7 |
+
technical diagram,157.43043367564678,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.43016701675953,results/benchmark/raw/uint4-static-transformer-only/images/p05-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A clean technical cutaway diagram of a compact hydrogen ferry drivetrain, readable labels, arrows, exploded components, white background, exact industrial illustration",technical-cutaway,5,True,0,61005,52,1024
|
| 8 |
+
long Latin text,157.40169668756425,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.42542196189365,results/benchmark/raw/uint4-static-transformer-only/images/p06-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A large chalkboard in a design studio with one continuous readable paragraph written in careful white chalk: The prototype must remain quiet under load, preserve every user setting, recover from failed uploads, and report exact timing numbers before anyone calls the experiment finished.",long-latin-text,6,True,0,61006,52,1024
|
| 9 |
+
long Cyrillic text,157.41716648079455,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.4242426074509,results/benchmark/raw/uint4-static-transformer-only/images/p07-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"Большая школьная доска в светлой аудитории, на ней аккуратно мелом написан длинный русский текст: Квантованная модель должна сохранять композицию, не ломать мелкие подписи, честно показывать скорость и память, а все артефакты нужно проверить перед публикацией.",long-cyrillic-text,7,True,0,61007,52,1024
|
| 10 |
+
mixed Latin Cyrillic diagram,157.40546470880508,160.9345742147416,26788,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.42189537012018,results/benchmark/raw/uint4-static-transformer-only/images/p08-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A bilingual technical wall chart mixing English and Russian labels: INPUT LATENTS, scheduler, трансформер, text encoder, VAE decoder, output image; neat arrows, small legends, clean grid, readable typography",mixed-diagram,8,True,0,61008,52,1024
|
| 11 |
+
scene composition,157.42380393855274,160.9345742147416,26229,15722.96142578125,25272.396484375,25558.0,25558.0,3.5,1024,157.45691105537117,157.42210743327936,results/benchmark/raw/uint4-static-transformer-only/images/p09-r00.png,False,uint4-static-transformer-only,16041,5.954131867736578,15714.83544921875,15714.83544921875,15730.0,15730.0,6671.43359375,checkpoints/raw/uint4-static-transformer-only,raw,"A rainy evening street in Warsaw seen through a tram window, neon signs reflected in wet asphalt, cyclists, kiosks, apartment balconies, cinematic realism without oversaturation",wide-city-scene,9,True,0,61009,52,1024
|
benchmark/sdnq.metrics.jsonl
ADDED
|
@@ -0,0 +1,10 @@
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|
| 1 |
+
{"category": "product detail", "elapsed_seconds": 160.9345742147416, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 160.9345742147416, "hot_mean_seconds": 160.9345742147416, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p00-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A precise studio product photograph of a translucent graphite espresso machine on a brushed steel counter, tiny engraved labels, clean reflections, realistic materials, sharp edges", "prompt_id": "studio-product", "prompt_idx": 0, "quantized": true, "run_idx": 0, "seed": 61000, "steps": 52, "width": 1024}
|
| 2 |
+
{"category": "portrait", "elapsed_seconds": 157.4271422624588, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.4271422624588, "hot_mean_seconds": 157.4271422624588, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p01-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A natural-light portrait of a sleep-deprived spacecraft mechanic in a cramped orbital workshop, believable skin, oil stains, soft window light, shallow depth of field", "prompt_id": "human-portrait", "prompt_idx": 1, "quantized": true, "run_idx": 0, "seed": 61001, "steps": 52, "width": 1024}
|
| 3 |
+
{"category": "public-domain artist style", "elapsed_seconds": 157.42446030303836, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26788, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.4271422624588, "hot_mean_seconds": 157.42580128274858, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p02-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A public-domain Alphonse Mucha inspired Art Nouveau theater poster for a fictional moon observatory, ornate floral border, elegant flat colors, decorative halo, readable title MOON GARDEN", "prompt_id": "mucha-poster", "prompt_idx": 2, "quantized": true, "run_idx": 0, "seed": 61002, "steps": 52, "width": 1024}
|
| 4 |
+
{"category": "public-domain artist style", "elapsed_seconds": 157.45691105537117, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.43617120695612, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p03-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A public-domain Hokusai inspired woodblock print of a compact electric ferry crossing a stormy canal, bold wave shapes, limited ink colors, paper grain, tiny passengers visible", "prompt_id": "hokusai-wave", "prompt_idx": 3, "quantized": true, "run_idx": 0, "seed": 61003, "steps": 52, "width": 1024}
|
| 5 |
+
{"category": "popular image style", "elapsed_seconds": 157.41188778728247, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.4301003520377, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p04-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A Bauhaus risograph exhibition poster, strict red blue yellow geometry, off-register ink, grainy paper, bold sans-serif headline SYSTEM FORM, small schedule text and ticket numbers", "prompt_id": "bauhaus-risograph", "prompt_idx": 4, "quantized": true, "run_idx": 0, "seed": 61004, "steps": 52, "width": 1024}
|
| 6 |
+
{"category": "technical diagram", "elapsed_seconds": 157.43043367564678, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.43016701675953, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p05-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A clean technical cutaway diagram of a compact hydrogen ferry drivetrain, readable labels, arrows, exploded components, white background, exact industrial illustration", "prompt_id": "technical-cutaway", "prompt_idx": 5, "quantized": true, "run_idx": 0, "seed": 61005, "steps": 52, "width": 1024}
|
| 7 |
+
{"category": "long Latin text", "elapsed_seconds": 157.40169668756425, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.42542196189365, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p06-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A large chalkboard in a design studio with one continuous readable paragraph written in careful white chalk: The prototype must remain quiet under load, preserve every user setting, recover from failed uploads, and report exact timing numbers before anyone calls the experiment finished.", "prompt_id": "long-latin-text", "prompt_idx": 6, "quantized": true, "run_idx": 0, "seed": 61006, "steps": 52, "width": 1024}
|
| 8 |
+
{"category": "long Cyrillic text", "elapsed_seconds": 157.41716648079455, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.4242426074509, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p07-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "Большая школьная доска в светлой аудитории, на ней аккуратно мелом написан длинный русский текст: Квантованная модель должна сохранять композицию, не ломать мелкие подписи, честно показывать скорость и память, а все артефакты нужно проверить перед публикацией.", "prompt_id": "long-cyrillic-text", "prompt_idx": 7, "quantized": true, "run_idx": 0, "seed": 61007, "steps": 52, "width": 1024}
|
| 9 |
+
{"category": "mixed Latin Cyrillic diagram", "elapsed_seconds": 157.40546470880508, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26788, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.42189537012018, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p08-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A bilingual technical wall chart mixing English and Russian labels: INPUT LATENTS, scheduler, трансформер, text encoder, VAE decoder, output image; neat arrows, small legends, clean grid, readable typography", "prompt_id": "mixed-diagram", "prompt_idx": 8, "quantized": true, "run_idx": 0, "seed": 61008, "steps": 52, "width": 1024}
|
| 10 |
+
{"category": "scene composition", "elapsed_seconds": 157.42380393855274, "first_generation_seconds": 160.9345742147416, "gen_peak_nvidia_smi_mb": 26229, "gen_torch_allocated_mb": 15722.96142578125, "gen_torch_peak_allocated_mb": 25272.396484375, "gen_torch_peak_reserved_mb": 25558.0, "gen_torch_reserved_mb": 25558.0, "guidance": 3.5, "height": 1024, "hot_max_seconds": 157.45691105537117, "hot_mean_seconds": 157.42210743327936, "image_path": "results/benchmark/raw/uint4-static-transformer-only/images/p09-r00.png", "is_distilled": false, "label": "uint4-static-transformer-only", "load_peak_nvidia_smi_mb": 16041, "load_seconds": 5.954131867736578, "load_torch_allocated_mb": 15714.83544921875, "load_torch_peak_allocated_mb": 15714.83544921875, "load_torch_peak_reserved_mb": 15730.0, "load_torch_reserved_mb": 15730.0, "maxrss_mb": 6671.43359375, "model": "checkpoints/raw/uint4-static-transformer-only", "model_key": "raw", "prompt": "A rainy evening street in Warsaw seen through a tram window, neon signs reflected in wet asphalt, cyclists, kiosks, apartment balconies, cinematic realism without oversaturation", "prompt_id": "wide-city-scene", "prompt_idx": 9, "quantized": true, "run_idx": 0, "seed": 61009, "steps": 52, "width": 1024}
|
benchmark/sdnq.summary.json
ADDED
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@@ -0,0 +1,23 @@
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{
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+
"first_generation_seconds": 160.9345742147416,
|
| 3 |
+
"gen_peak_nvidia_smi_mb": 26788,
|
| 4 |
+
"gen_torch_peak_allocated_mb": 25272.396484375,
|
| 5 |
+
"gen_torch_peak_reserved_mb": 25558.0,
|
| 6 |
+
"hot_max_seconds": 157.45691105537117,
|
| 7 |
+
"hot_mean_seconds": 157.42210743327936,
|
| 8 |
+
"label": "uint4-static-transformer-only",
|
| 9 |
+
"maxrss_mb": 6671.43359375,
|
| 10 |
+
"model": "checkpoints/raw/uint4-static-transformer-only",
|
| 11 |
+
"model_key": "raw",
|
| 12 |
+
"prompt_count": 10,
|
| 13 |
+
"runs": 10,
|
| 14 |
+
"settings": {
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"guidance": 3.5,
|
| 17 |
+
"height": 1024,
|
| 18 |
+
"is_distilled": false,
|
| 19 |
+
"seed_base": 61000,
|
| 20 |
+
"steps": 52,
|
| 21 |
+
"width": 1024
|
| 22 |
+
}
|
| 23 |
+
}
|
benchmark/smoke-findings.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_key": "raw",
|
| 3 |
+
"candidates": [
|
| 4 |
+
{"variant": "uint4-static-transformer-text", "status": "invalid", "reason": "Krea2Pipeline standard load delegates text_encoder to Transformers Qwen3VLModel; SDNQ-packed text_encoder weights produce mismatched shapes and fail load."},
|
| 5 |
+
{"variant": "uint4-static-transformer-only", "status": "ok", "reason": "Quantized checkpoint loads through Krea2Pipeline after importing sdnq.SDNQConfig and generates a smoke image."},
|
| 6 |
+
{"variant": "uint4-dynamic-th0p01-svd-r32-transformer-text", "status": "invalid", "reason": "Contains SDNQ-packed text_encoder, same loader incompatibility as uint4-static-transformer-text."},
|
| 7 |
+
{"variant": "uint4-static-transformer-text-vae", "status": "invalid", "reason": "Contains SDNQ-packed text_encoder, same loader incompatibility as uint4-static-transformer-text."}
|
| 8 |
+
],
|
| 9 |
+
"selected": "uint4-static-transformer-only"
|
| 10 |
+
}
|
benchmark/summary.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model": "krea/Krea-2-Raw",
|
| 3 |
+
"model_key": "raw",
|
| 4 |
+
"official_inference_settings": {
|
| 5 |
+
"attention_backend": "diffusers native attention",
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"guidance": 3.5,
|
| 8 |
+
"height": 1024,
|
| 9 |
+
"is_distilled": false,
|
| 10 |
+
"seed_base": 61000,
|
| 11 |
+
"steps": 52,
|
| 12 |
+
"width": 1024
|
| 13 |
+
},
|
| 14 |
+
"original": {
|
| 15 |
+
"first_generation_seconds": 163.73263843916357,
|
| 16 |
+
"gen_peak_nvidia_smi_mb": 44154,
|
| 17 |
+
"gen_torch_peak_allocated_mb": 42717.1767578125,
|
| 18 |
+
"gen_torch_peak_reserved_mb": 42926.0,
|
| 19 |
+
"hot_max_seconds": 163.4224559403956,
|
| 20 |
+
"hot_mean_seconds": 163.40291814009348,
|
| 21 |
+
"label": "original",
|
| 22 |
+
"load_peak_nvidia_smi_mb": 33487,
|
| 23 |
+
"load_seconds": 8.442133091390133,
|
| 24 |
+
"load_torch_peak_allocated_mb": 33159.61572265625,
|
| 25 |
+
"load_torch_peak_reserved_mb": 33178.0,
|
| 26 |
+
"maxrss_mb": 11368.7109375,
|
| 27 |
+
"model": "krea/Krea-2-Raw",
|
| 28 |
+
"model_key": "raw",
|
| 29 |
+
"prompt_count": 10,
|
| 30 |
+
"runs": 10,
|
| 31 |
+
"settings": {
|
| 32 |
+
"dtype": "bfloat16",
|
| 33 |
+
"guidance": 3.5,
|
| 34 |
+
"height": 1024,
|
| 35 |
+
"is_distilled": false,
|
| 36 |
+
"seed_base": 61000,
|
| 37 |
+
"steps": 52,
|
| 38 |
+
"width": 1024
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"sdnq": {
|
| 42 |
+
"first_generation_seconds": 160.9345742147416,
|
| 43 |
+
"gen_peak_nvidia_smi_mb": 26788,
|
| 44 |
+
"gen_torch_peak_allocated_mb": 25272.396484375,
|
| 45 |
+
"gen_torch_peak_reserved_mb": 25558.0,
|
| 46 |
+
"hot_max_seconds": 157.45691105537117,
|
| 47 |
+
"hot_mean_seconds": 157.42210743327936,
|
| 48 |
+
"label": "uint4-static-transformer-only",
|
| 49 |
+
"load_peak_nvidia_smi_mb": 16041,
|
| 50 |
+
"load_seconds": 5.954131867736578,
|
| 51 |
+
"load_torch_peak_allocated_mb": 15714.83544921875,
|
| 52 |
+
"load_torch_peak_reserved_mb": 15730.0,
|
| 53 |
+
"local_model_size_bytes": 16489951772,
|
| 54 |
+
"local_model_size_gb": 15.357464339584112,
|
| 55 |
+
"maxrss_mb": 6671.43359375,
|
| 56 |
+
"model": "checkpoints/raw/uint4-static-transformer-only",
|
| 57 |
+
"model_key": "raw",
|
| 58 |
+
"prompt_count": 10,
|
| 59 |
+
"runs": 10,
|
| 60 |
+
"settings": {
|
| 61 |
+
"dtype": "bfloat16",
|
| 62 |
+
"guidance": 3.5,
|
| 63 |
+
"height": 1024,
|
| 64 |
+
"is_distilled": false,
|
| 65 |
+
"seed_base": 61000,
|
| 66 |
+
"steps": 52,
|
| 67 |
+
"width": 1024
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"target_repo": "WaveCut/Krea-2-Raw-SDNQ-uint4",
|
| 71 |
+
"variant": "uint4-static-transformer-only"
|
| 72 |
+
}
|
lab_metadata.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"finished_at": "2026-06-24T10:37:12Z",
|
| 3 |
+
"maxrss_mb": 45018.34375,
|
| 4 |
+
"model_key": "raw",
|
| 5 |
+
"quantize_peak_nvidia_smi_mb": 3089,
|
| 6 |
+
"quantize_seconds": 8.158692993223667,
|
| 7 |
+
"source_model": "krea/Krea-2-Raw",
|
| 8 |
+
"started_at": "2026-06-24T10:37:04Z",
|
| 9 |
+
"target_repo": "WaveCut/Krea-2-Raw-SDNQ-uint4",
|
| 10 |
+
"variant": {
|
| 11 |
+
"dynamic_loss_threshold": null,
|
| 12 |
+
"modules": [
|
| 13 |
+
"transformer"
|
| 14 |
+
],
|
| 15 |
+
"name": "uint4-static-transformer-only",
|
| 16 |
+
"quant_conv": false,
|
| 17 |
+
"quant_embedding": false,
|
| 18 |
+
"svd_rank": 32,
|
| 19 |
+
"svd_steps": 32,
|
| 20 |
+
"use_dynamic_quantization": false,
|
| 21 |
+
"use_svd": false,
|
| 22 |
+
"weights_dtype": "uint4"
|
| 23 |
+
}
|
| 24 |
+
}
|
model_index.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "Krea2Pipeline",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"_name_or_path": "krea/Krea-2-Raw",
|
| 5 |
+
"is_distilled": false,
|
| 6 |
+
"patch_size": 2,
|
| 7 |
+
"scheduler": [
|
| 8 |
+
"diffusers",
|
| 9 |
+
"FlowMatchEulerDiscreteScheduler"
|
| 10 |
+
],
|
| 11 |
+
"text_encoder": [
|
| 12 |
+
"transformers",
|
| 13 |
+
"Qwen3VLModel"
|
| 14 |
+
],
|
| 15 |
+
"text_encoder_select_layers": [
|
| 16 |
+
2,
|
| 17 |
+
5,
|
| 18 |
+
8,
|
| 19 |
+
11,
|
| 20 |
+
14,
|
| 21 |
+
17,
|
| 22 |
+
20,
|
| 23 |
+
23,
|
| 24 |
+
26,
|
| 25 |
+
29,
|
| 26 |
+
32,
|
| 27 |
+
35
|
| 28 |
+
],
|
| 29 |
+
"tokenizer": [
|
| 30 |
+
"transformers",
|
| 31 |
+
"Qwen2Tokenizer"
|
| 32 |
+
],
|
| 33 |
+
"transformer": [
|
| 34 |
+
"diffusers",
|
| 35 |
+
"Krea2Transformer2DModel"
|
| 36 |
+
],
|
| 37 |
+
"vae": [
|
| 38 |
+
"diffusers",
|
| 39 |
+
"AutoencoderKLQwenImage"
|
| 40 |
+
]
|
| 41 |
+
}
|
prompts.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"category": "product detail",
|
| 4 |
+
"id": "studio-product",
|
| 5 |
+
"prompt": "A precise studio product photograph of a translucent graphite espresso machine on a brushed steel counter, tiny engraved labels, clean reflections, realistic materials, sharp edges"
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"category": "portrait",
|
| 9 |
+
"id": "human-portrait",
|
| 10 |
+
"prompt": "A natural-light portrait of a sleep-deprived spacecraft mechanic in a cramped orbital workshop, believable skin, oil stains, soft window light, shallow depth of field"
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"category": "public-domain artist style",
|
| 14 |
+
"id": "mucha-poster",
|
| 15 |
+
"prompt": "A public-domain Alphonse Mucha inspired Art Nouveau theater poster for a fictional moon observatory, ornate floral border, elegant flat colors, decorative halo, readable title MOON GARDEN"
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"category": "public-domain artist style",
|
| 19 |
+
"id": "hokusai-wave",
|
| 20 |
+
"prompt": "A public-domain Hokusai inspired woodblock print of a compact electric ferry crossing a stormy canal, bold wave shapes, limited ink colors, paper grain, tiny passengers visible"
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"category": "popular image style",
|
| 24 |
+
"id": "bauhaus-risograph",
|
| 25 |
+
"prompt": "A Bauhaus risograph exhibition poster, strict red blue yellow geometry, off-register ink, grainy paper, bold sans-serif headline SYSTEM FORM, small schedule text and ticket numbers"
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"category": "technical diagram",
|
| 29 |
+
"id": "technical-cutaway",
|
| 30 |
+
"prompt": "A clean technical cutaway diagram of a compact hydrogen ferry drivetrain, readable labels, arrows, exploded components, white background, exact industrial illustration"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"category": "long Latin text",
|
| 34 |
+
"id": "long-latin-text",
|
| 35 |
+
"prompt": "A large chalkboard in a design studio with one continuous readable paragraph written in careful white chalk: The prototype must remain quiet under load, preserve every user setting, recover from failed uploads, and report exact timing numbers before anyone calls the experiment finished."
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"category": "long Cyrillic text",
|
| 39 |
+
"id": "long-cyrillic-text",
|
| 40 |
+
"prompt": "Большая школьная доска в светлой аудитории, на ней аккуратно мелом написан длинный русский текст: Квантованная модель должна сохранять композицию, не ломать мелкие подписи, честно показывать скорость и память, а все артефакты нужно проверить перед публикацией."
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"category": "mixed Latin Cyrillic diagram",
|
| 44 |
+
"id": "mixed-diagram",
|
| 45 |
+
"prompt": "A bilingual technical wall chart mixing English and Russian labels: INPUT LATENTS, scheduler, трансформер, text encoder, VAE decoder, output image; neat arrows, small legends, clean grid, readable typography"
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"category": "scene composition",
|
| 49 |
+
"id": "wide-city-scene",
|
| 50 |
+
"prompt": "A rainy evening street in Warsaw seen through a tram window, neon signs reflected in wet asphalt, cyclists, kiosks, apartment balconies, cinematic realism without oversaturation"
|
| 51 |
+
}
|
| 52 |
+
]
|
quantization_manifest.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attention_backend": "diffusers native attention",
|
| 3 |
+
"base_model": "krea/Krea-2-Raw",
|
| 4 |
+
"base_model_relation": "quantized",
|
| 5 |
+
"benchmark_summary_path": "benchmark/summary.json",
|
| 6 |
+
"comparison_grid": "assets/original_vs_sdnq_raw.webp",
|
| 7 |
+
"model_key": "raw",
|
| 8 |
+
"official_inference_settings": {
|
| 9 |
+
"attention_backend": "diffusers native attention",
|
| 10 |
+
"dtype": "bfloat16",
|
| 11 |
+
"guidance": 3.5,
|
| 12 |
+
"height": 1024,
|
| 13 |
+
"is_distilled": false,
|
| 14 |
+
"seed_base": 61000,
|
| 15 |
+
"steps": 52,
|
| 16 |
+
"width": 1024
|
| 17 |
+
},
|
| 18 |
+
"packaged_at": "2026-06-24T12:21:22Z",
|
| 19 |
+
"prompt_count": 10,
|
| 20 |
+
"quantized_checkpoint_size_bytes": 16489951772,
|
| 21 |
+
"quantized_checkpoint_size_gb": 15.357464339584112,
|
| 22 |
+
"quantized_components": [
|
| 23 |
+
"transformer"
|
| 24 |
+
],
|
| 25 |
+
"quantizer": "SDNQ",
|
| 26 |
+
"release_size_bytes": 16515862739,
|
| 27 |
+
"release_size_gb": 15.381595808081329,
|
| 28 |
+
"target_repo": "WaveCut/Krea-2-Raw-SDNQ-uint4",
|
| 29 |
+
"unquantized_pipeline_components": [
|
| 30 |
+
"scheduler",
|
| 31 |
+
"tokenizer",
|
| 32 |
+
"text_encoder",
|
| 33 |
+
"vae"
|
| 34 |
+
],
|
| 35 |
+
"upstream_license_files": [
|
| 36 |
+
"LICENSE.pdf"
|
| 37 |
+
],
|
| 38 |
+
"variant": {
|
| 39 |
+
"dynamic_loss_threshold": null,
|
| 40 |
+
"modules": [
|
| 41 |
+
"transformer"
|
| 42 |
+
],
|
| 43 |
+
"name": "uint4-static-transformer-only",
|
| 44 |
+
"quant_conv": false,
|
| 45 |
+
"quant_embedding": false,
|
| 46 |
+
"svd_rank": 32,
|
| 47 |
+
"svd_steps": 32,
|
| 48 |
+
"use_dynamic_quantization": false,
|
| 49 |
+
"use_svd": false,
|
| 50 |
+
"weights_dtype": "uint4"
|
| 51 |
+
},
|
| 52 |
+
"weights_dtype": "uint4"
|
| 53 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 6400,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": true,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLModel"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 151655,
|
| 7 |
+
"model_type": "qwen3_vl",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"bos_token_id": 151643,
|
| 12 |
+
"dtype": "bfloat16",
|
| 13 |
+
"eos_token_id": 151645,
|
| 14 |
+
"head_dim": 128,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 2560,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 9728,
|
| 19 |
+
"max_position_embeddings": 262144,
|
| 20 |
+
"model_type": "qwen3_vl_text",
|
| 21 |
+
"num_attention_heads": 32,
|
| 22 |
+
"num_hidden_layers": 36,
|
| 23 |
+
"num_key_value_heads": 8,
|
| 24 |
+
"pad_token_id": null,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"mrope_interleaved": true,
|
| 28 |
+
"mrope_section": [
|
| 29 |
+
24,
|
| 30 |
+
20,
|
| 31 |
+
20
|
| 32 |
+
],
|
| 33 |
+
"rope_theta": 5000000,
|
| 34 |
+
"rope_type": "default"
|
| 35 |
+
},
|
| 36 |
+
"tie_word_embeddings": true,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 151936
|
| 39 |
+
},
|
| 40 |
+
"tie_word_embeddings": true,
|
| 41 |
+
"transformers_version": "5.13.0.dev0",
|
| 42 |
+
"video_token_id": 151656,
|
| 43 |
+
"vision_config": {
|
| 44 |
+
"deepstack_visual_indexes": [
|
| 45 |
+
5,
|
| 46 |
+
11,
|
| 47 |
+
17
|
| 48 |
+
],
|
| 49 |
+
"depth": 24,
|
| 50 |
+
"dtype": "bfloat16",
|
| 51 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 52 |
+
"hidden_size": 1024,
|
| 53 |
+
"in_channels": 3,
|
| 54 |
+
"initializer_range": 0.02,
|
| 55 |
+
"intermediate_size": 4096,
|
| 56 |
+
"model_type": "qwen3_vl_vision",
|
| 57 |
+
"num_heads": 16,
|
| 58 |
+
"num_position_embeddings": 2304,
|
| 59 |
+
"out_hidden_size": 2560,
|
| 60 |
+
"patch_size": 16,
|
| 61 |
+
"spatial_merge_size": 2,
|
| 62 |
+
"temporal_patch_size": 2
|
| 63 |
+
},
|
| 64 |
+
"vision_end_token_id": 151653,
|
| 65 |
+
"vision_start_token_id": 151652
|
| 66 |
+
}
|
text_encoder/model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fec40067096de026596f71f00f947b30d2730f8416da03059c44a28b85741122
|
| 3 |
+
size 4990820744
|
text_encoder/model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ffbd61087fb0e41b40f37e7f0b2a36c93112974303499c14c15c5d97a93db991
|
| 3 |
+
size 3884894312
|
text_encoder/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,721 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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"visual.blocks.8.mlp.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 676 |
+
"visual.blocks.8.mlp.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 677 |
+
"visual.blocks.8.norm1.bias": "model-00002-of-00002.safetensors",
|
| 678 |
+
"visual.blocks.8.norm1.weight": "model-00002-of-00002.safetensors",
|
| 679 |
+
"visual.blocks.8.norm2.bias": "model-00002-of-00002.safetensors",
|
| 680 |
+
"visual.blocks.8.norm2.weight": "model-00002-of-00002.safetensors",
|
| 681 |
+
"visual.blocks.9.attn.proj.bias": "model-00002-of-00002.safetensors",
|
| 682 |
+
"visual.blocks.9.attn.proj.weight": "model-00002-of-00002.safetensors",
|
| 683 |
+
"visual.blocks.9.attn.qkv.bias": "model-00002-of-00002.safetensors",
|
| 684 |
+
"visual.blocks.9.attn.qkv.weight": "model-00002-of-00002.safetensors",
|
| 685 |
+
"visual.blocks.9.mlp.linear_fc1.bias": "model-00002-of-00002.safetensors",
|
| 686 |
+
"visual.blocks.9.mlp.linear_fc1.weight": "model-00002-of-00002.safetensors",
|
| 687 |
+
"visual.blocks.9.mlp.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 688 |
+
"visual.blocks.9.mlp.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 689 |
+
"visual.blocks.9.norm1.bias": "model-00002-of-00002.safetensors",
|
| 690 |
+
"visual.blocks.9.norm1.weight": "model-00002-of-00002.safetensors",
|
| 691 |
+
"visual.blocks.9.norm2.bias": "model-00002-of-00002.safetensors",
|
| 692 |
+
"visual.blocks.9.norm2.weight": "model-00002-of-00002.safetensors",
|
| 693 |
+
"visual.deepstack_merger_list.0.linear_fc1.bias": "model-00002-of-00002.safetensors",
|
| 694 |
+
"visual.deepstack_merger_list.0.linear_fc1.weight": "model-00002-of-00002.safetensors",
|
| 695 |
+
"visual.deepstack_merger_list.0.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 696 |
+
"visual.deepstack_merger_list.0.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 697 |
+
"visual.deepstack_merger_list.0.norm.bias": "model-00002-of-00002.safetensors",
|
| 698 |
+
"visual.deepstack_merger_list.0.norm.weight": "model-00002-of-00002.safetensors",
|
| 699 |
+
"visual.deepstack_merger_list.1.linear_fc1.bias": "model-00002-of-00002.safetensors",
|
| 700 |
+
"visual.deepstack_merger_list.1.linear_fc1.weight": "model-00002-of-00002.safetensors",
|
| 701 |
+
"visual.deepstack_merger_list.1.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 702 |
+
"visual.deepstack_merger_list.1.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 703 |
+
"visual.deepstack_merger_list.1.norm.bias": "model-00002-of-00002.safetensors",
|
| 704 |
+
"visual.deepstack_merger_list.1.norm.weight": "model-00002-of-00002.safetensors",
|
| 705 |
+
"visual.deepstack_merger_list.2.linear_fc1.bias": "model-00002-of-00002.safetensors",
|
| 706 |
+
"visual.deepstack_merger_list.2.linear_fc1.weight": "model-00002-of-00002.safetensors",
|
| 707 |
+
"visual.deepstack_merger_list.2.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 708 |
+
"visual.deepstack_merger_list.2.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 709 |
+
"visual.deepstack_merger_list.2.norm.bias": "model-00002-of-00002.safetensors",
|
| 710 |
+
"visual.deepstack_merger_list.2.norm.weight": "model-00002-of-00002.safetensors",
|
| 711 |
+
"visual.merger.linear_fc1.bias": "model-00002-of-00002.safetensors",
|
| 712 |
+
"visual.merger.linear_fc1.weight": "model-00002-of-00002.safetensors",
|
| 713 |
+
"visual.merger.linear_fc2.bias": "model-00002-of-00002.safetensors",
|
| 714 |
+
"visual.merger.linear_fc2.weight": "model-00002-of-00002.safetensors",
|
| 715 |
+
"visual.merger.norm.bias": "model-00002-of-00002.safetensors",
|
| 716 |
+
"visual.merger.norm.weight": "model-00002-of-00002.safetensors",
|
| 717 |
+
"visual.patch_embed.proj.bias": "model-00002-of-00002.safetensors",
|
| 718 |
+
"visual.patch_embed.proj.weight": "model-00002-of-00002.safetensors",
|
| 719 |
+
"visual.pos_embed.weight": "model-00002-of-00002.safetensors"
|
| 720 |
+
}
|
| 721 |
+
}
|
tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,120 @@
|
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|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for content in messages[0].content %}
|
| 8 |
+
{%- if 'text' in content %}
|
| 9 |
+
{{- content.text }}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- endfor %}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{{- '\n\n' }}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 262144,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
transformer/config.json
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "Krea2Transformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"_name_or_path": "/workspace/krea2-sdnq-lab/hf-home/hub/models--krea--Krea-2-Raw/snapshots/4ad9f4b627a647fad78b3dfeebb09f2654aeb494/transformer",
|
| 5 |
+
"attention_head_dim": 128,
|
| 6 |
+
"axes_dims_rope": [
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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|
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|
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|
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| 50 |
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| 51 |
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|
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|
| 56 |
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| 58 |
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| 59 |
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|
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|
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|
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|
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|
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|
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|
| 81 |
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"weights_dtype": "uint4"
|
| 82 |
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},
|
| 83 |
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|
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|
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}
|
transformer/diffusion_pytorch_model-00001-of-00002.safetensors
ADDED
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size 4979301962
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transformer/diffusion_pytorch_model-00002-of-00002.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 2369535296
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transformer/diffusion_pytorch_model.safetensors.index.json
ADDED
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|
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transformer/quantization_config.json
ADDED
|
@@ -0,0 +1,63 @@
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|
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|
|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
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"add_skip_keys": true,
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"modules_quant_config": {},
|
| 11 |
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"modules_to_not_convert": [
|
| 12 |
+
".proj_out",
|
| 13 |
+
"patch_embed",
|
| 14 |
+
".y_embedder",
|
| 15 |
+
".txt_in",
|
| 16 |
+
"lm_head",
|
| 17 |
+
"time_embed",
|
| 18 |
+
".txt_out",
|
| 19 |
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".emb_out",
|
| 20 |
+
".x_embedder",
|
| 21 |
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"patch_emb",
|
| 22 |
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".vid_in",
|
| 23 |
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".emb_in",
|
| 24 |
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"time_text_embed",
|
| 25 |
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".condition_embedder",
|
| 26 |
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"norm_k",
|
| 27 |
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".t_embedder",
|
| 28 |
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"multi_modal_projector",
|
| 29 |
+
"norm1",
|
| 30 |
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"norm2",
|
| 31 |
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".time_embed",
|
| 32 |
+
".context_embedder",
|
| 33 |
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".vid_out",
|
| 34 |
+
".final_layer",
|
| 35 |
+
"patch_embedding",
|
| 36 |
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".img_out",
|
| 37 |
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".norm_out",
|
| 38 |
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"wte",
|
| 39 |
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".img_in",
|
| 40 |
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"norm",
|
| 41 |
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"norm_q"
|
| 42 |
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],
|
| 43 |
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"modules_to_not_use_matmul": [],
|
| 44 |
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"non_blocking": true,
|
| 45 |
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"quant_conv": false,
|
| 46 |
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"quant_embedding": false,
|
| 47 |
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"quant_method": "sdnq",
|
| 48 |
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"quantization_device": "cuda",
|
| 49 |
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"quantized_matmul_dtype": null,
|
| 50 |
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"return_device": "cpu",
|
| 51 |
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"sdnq_version": "0.2.0",
|
| 52 |
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"svd_rank": 32,
|
| 53 |
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"svd_steps": 32,
|
| 54 |
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"use_dynamic_quantization": false,
|
| 55 |
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"use_grad_ckpt": true,
|
| 56 |
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"use_hadamard": false,
|
| 57 |
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"use_quantized_matmul": false,
|
| 58 |
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"use_quantized_matmul_conv": false,
|
| 59 |
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"use_static_quantization": true,
|
| 60 |
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"use_stochastic_rounding": false,
|
| 61 |
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"use_svd": false,
|
| 62 |
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"weights_dtype": "uint4"
|
| 63 |
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}
|
vae/config.json
ADDED
|
@@ -0,0 +1,58 @@
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|
| 1 |
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{
|
| 2 |
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"_class_name": "AutoencoderKLQwenImage",
|
| 3 |
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"_diffusers_version": "0.39.0.dev0",
|
| 4 |
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"_name_or_path": "/workspace/krea2-sdnq-lab/hf-home/hub/models--krea--Krea-2-Raw/snapshots/4ad9f4b627a647fad78b3dfeebb09f2654aeb494/vae",
|
| 5 |
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"attn_scales": [],
|
| 6 |
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"base_dim": 96,
|
| 7 |
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"dim_mult": [
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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],
|
| 13 |
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"dropout": 0.0,
|
| 14 |
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"input_channels": 3,
|
| 15 |
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"latents_mean": [
|
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|
| 31 |
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|
| 32 |
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],
|
| 33 |
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"latents_std": [
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
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|
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|
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"num_res_blocks": 2,
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"temperal_downsample": [
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| 53 |
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|
| 54 |
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| 55 |
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|
| 56 |
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],
|
| 57 |
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"z_dim": 16
|
| 58 |
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vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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