Text-to-Image
Diffusers
Safetensors
English
image-generation
class-conditional
imagenet
pixelflow
flow-matching
Instructions to use BiliSakura/PixelFlow-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/PixelFlow-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/PixelFlow-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "golden retriever" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download PixelFlow-256/transformer/__pycache__/modeling_pixelflow.cpython-312.pyc from BiliSakura/PixelFlow-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 24.1 kB
-
https://huggingface.co/BiliSakura/PixelFlow-diffusers/resolve/main/PixelFlow-256/transformer/__pycache__/modeling_pixelflow.cpython-312.pyc
- Command line
-
hf download hf://BiliSakura/PixelFlow-diffusers/PixelFlow-256/transformer/__pycache__/modeling_pixelflow.cpython-312.pyc
-
curl -L -o modeling_pixelflow.cpython-312.pyc https://huggingface.co/BiliSakura/PixelFlow-diffusers/resolve/main/PixelFlow-256/transformer/__pycache__/modeling_pixelflow.cpython-312.pyc
24.1 kB
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