Instructions to use dataautogpt3/CALAMITY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/CALAMITY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/CALAMITY", dtype=torch.bfloat16, device_map="cuda") prompt = "7-Vectors, glitched skyline, high rise ruins, retrowave, occult, glitching, retrofuturistic, glitch art, artifacts, circuitry demon, glitched screen, synthetic, english, scanlines, chromatic aberration, bad quality, red-pink, crt, vhs, noise, grain, highly detailed, 4k, synthetic anime" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "AutoencoderKL", | |
| "_diffusers_version": "0.29.2", | |
| "_name_or_path": "../sdxl-vae/", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "layers_per_block": 2, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "sample_size": 1024, | |
| "scaling_factor": 0.13025, | |
| "shift_factor": null, | |
| "up_block_types": [ | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D" | |
| ], | |
| "use_post_quant_conv": true, | |
| "use_quant_conv": true | |
| } | |