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 Settings
- Draw Things
- DiffusionBee
Commit History
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#2)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (46bc4b1e5c63f41393bc82f5d9476e77c968a30e) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>7b70b41
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Add Diffusers weights (#1)
- Add Diffusers weights (49d69a07bed78dd9b6d1761a3f98a816b37a569c) Co-authored-by: Multimodal AI art <multimodalart@users.noreply.huggingface.co>01ee81f