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 text_encoder/flax_model.msgpack from flax/Stable_Diffusion_PaperCut_Model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/flax/Stable_Diffusion_PaperCut_Model/resolve/refs%2Fpr%2F1/text_encoder/flax_model.msgpack
- Command line
-
hf download hf://flax/Stable_Diffusion_PaperCut_Model@refs/pr/1/text_encoder/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/flax/Stable_Diffusion_PaperCut_Model/resolve/refs%2Fpr%2F1/text_encoder/flax_model.msgpack
492 MB
- Xet hash:
- cd4069830dd92826901e122dfd7f72dcbfbdd9ed729db019fdc8fdc21d27f8c4
- Size of remote file:
- 492 MB
- SHA256:
- ea8420b6e1212a5978007d5eadad8b05633bb954d3ab16c35437dba8b3b93b10
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