Instructions to use flax/stable-diffusion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/stable-diffusion-2-1 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-2-1", 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 unet/diffusion_flax_model.msgpack from flax/stable-diffusion-2-1: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/flax/stable-diffusion-2-1/resolve/main/unet/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/stable-diffusion-2-1/unet/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/stable-diffusion-2-1/resolve/main/unet/diffusion_flax_model.msgpack
3.46 GB
- Xet hash:
- 6830ed97351339a6ca88c6333eb7fd62ed6b378aa8c85ba84f071d859758e2ad
- Size of remote file:
- 3.46 GB
- SHA256:
- c21109e1db0a365396fd78eaa4a51b677e306fb08c871189aaacfd98fa3ecae5
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