Instructions to use flax/Stable_Diffusion_PaperCut_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Stable_Diffusion_PaperCut_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("flax/Stable_Diffusion_PaperCut_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 vae/diffusion_flax_model.msgpack from flax/Stable_Diffusion_PaperCut_Model: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/flax/Stable_Diffusion_PaperCut_Model/resolve/refs%2Fpr%2F1/vae/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/Stable_Diffusion_PaperCut_Model@refs/pr/1/vae/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/Stable_Diffusion_PaperCut_Model/resolve/refs%2Fpr%2F1/vae/diffusion_flax_model.msgpack
335 MB
- Xet hash:
- 4b6833f4f5a63bea9ad8dbd24e1c0bcf7b397187b4aec2184343e82757136030
- Size of remote file:
- 335 MB
- SHA256:
- ed39fc57b0224dec2c0cc6f9a532633ccef89815e40b544a6b8f38f422023d8a
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