Instructions to use flax/stable-diffusion-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/stable-diffusion-2-base 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-base", 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-base: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/flax/stable-diffusion-2-base/resolve/main/unet/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/stable-diffusion-2-base/unet/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/stable-diffusion-2-base/resolve/main/unet/diffusion_flax_model.msgpack
3.46 GB
- Xet hash:
- 47fca32afee49dd29a098ce42180710f6055d648f6229497c6af6cb0eb8ce2c1
- Size of remote file:
- 3.46 GB
- SHA256:
- 31d71f3e4febffa682cf56bb8655e5f0cd6f315e6cc5a77ef8c1d9404f31eb1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.