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_2/model.safetensors from HelpingAI/PixelGen: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/HelpingAI/PixelGen/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://HelpingAI/PixelGen/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HelpingAI/PixelGen/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 1d6a5060ae8410f0450ee27fad0abff0b311356025884d0f47e9b1f76883724e
- Size of remote file:
- 1.39 GB
- SHA256:
- f36125b701a6f46aa726d761dd8d7cebb7dd1f0f1466d52d073ea6a048a13242
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