Instructions to use flax/stable-diffusion-2-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/stable-diffusion-2-1-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-2-1-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 tokenizer/vocab.json from flax/stable-diffusion-2-1-base: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/flax/stable-diffusion-2-1-base/resolve/5225fbda066f384fb799d549363126b822320cbc/tokenizer/vocab.json
- Command line
-
hf download hf://flax/stable-diffusion-2-1-base@5225fbda066f384fb799d549363126b822320cbc/tokenizer/vocab.json
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curl -L -o vocab.json https://huggingface.co/flax/stable-diffusion-2-1-base/resolve/5225fbda066f384fb799d549363126b822320cbc/tokenizer/vocab.json
1.06 MB
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