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 text_encoder/pytorch_model.bin from HelpingAI/PixelGen: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/HelpingAI/PixelGen/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://HelpingAI/PixelGen/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HelpingAI/PixelGen/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 62c83f32b13616ff4d4a2a76723d4c3e699388669b149db9a7e38e0cff03037e
- Size of remote file:
- 246 MB
- SHA256:
- 3399767949c47cdc0a55c9982d69014dedc704e55a9cf88d10150748c909b0e4
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