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
Download text_encoder/pytorch_model.bin from PublicPrompts/All-In-One-Pixel-Model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/PublicPrompts/All-In-One-Pixel-Model/resolve/refs%2Fpr%2F14/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://PublicPrompts/All-In-One-Pixel-Model@refs/pr/14/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PublicPrompts/All-In-One-Pixel-Model/resolve/refs%2Fpr%2F14/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- e884b29dd8bd3a2e6d8b6a9688141a0b9252ed364594849c0bcef32dd4e4f87e
- Size of remote file:
- 492 MB
- SHA256:
- b47952eba5728af3f3b96837aebff281b6efc012d922b5772ae2726435b3d30d
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