Instructions to use Duyihl/pixcelsskdasld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Duyihl/pixcelsskdasld with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nerijs/pixel-art-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Duyihl/pixcelsskdasld") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("nerijs/pixel-art-xl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Duyihl/pixcelsskdasld")
prompt = "-"
image = pipe(prompt).images[0]Pixcel

- Prompt
- -
Model description
hguighiug
Trigger words
You should use iughuh to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Duyihl/pixcelsskdasld
Base model
stabilityai/stable-diffusion-xl-base-1.0 Adapter
nerijs/pixel-art-xl