Text-to-Image
Diffusers
Safetensors
English
image-generation
class-conditional
imagenet
pixelgen
flow-matching
pixel-space
jit
Instructions to use BiliSakura/PixelGen-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/PixelGen-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/PixelGen-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 PixelGen-XL-16-256/demo.png from BiliSakura/PixelGen-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 132 kB
-
https://huggingface.co/BiliSakura/PixelGen-diffusers/resolve/main/PixelGen-XL-16-256/demo.png
- Command line
-
hf download hf://BiliSakura/PixelGen-diffusers/PixelGen-XL-16-256/demo.png
-
curl -L -o demo.png https://huggingface.co/BiliSakura/PixelGen-diffusers/resolve/main/PixelGen-XL-16-256/demo.png
132 kB
- Xet hash:
- 5b95dac949636d3f8be326f8986fdd5f3b7a707f06183781dfff9006c5664575
- Size of remote file:
- 132 kB
- SHA256:
- 4205fb840cd45c640418b3abad9056de4621c55a85e256255a32db9ae37bee47
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.