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
- Draw Things
- DiffusionBee
- Xet hash:
- 07ba66e5e8fe79262b7d110f5ae696befb69a206eec650a508bb9cab472427bc
- Size of remote file:
- 5.14 GB
- SHA256:
- 663c25978199afd369dbf25168db1e70d17818dd846c2f34bd2ca95ec9edc54d
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