Instructions to use PublicPrompts/All-In-One-Pixel-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PublicPrompts/All-In-One-Pixel-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PublicPrompts/All-In-One-Pixel-Model", 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:
- ab434d9f36b1d2cb91777c8c4b5828dddef9ca5a69c83434c61c002adf6413b7
- Size of remote file:
- 335 MB
- SHA256:
- 55ad9628530430eed28c01dcf3c971a29ffe5d657856cb054728b6c956da3037
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