Instructions to use HelpingAI/PixelGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelpingAI/PixelGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelpingAI/PixelGen", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from HelpingAI/PixelGen: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/HelpingAI/PixelGen/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://HelpingAI/PixelGen/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/HelpingAI/PixelGen/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 040c1287fcd1e0d9867dd76d0d6955e4d7e859505c5b33122dd6e160c2a6db1d
- Size of remote file:
- 167 MB
- SHA256:
- 7955b04260576e8d0e9cbd8abc531ae43010515c0e06eddd3867c5d9fc65623a
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