Instructions to use diffusers/tiny-stable-diffusion-torch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/tiny-stable-diffusion-torch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/tiny-stable-diffusion-torch", 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_pytorch_model.bin from diffusers/tiny-stable-diffusion-torch: direct link, hf CLI and curl.
- Browser
- Download file 2.68 MB
-
https://huggingface.co/diffusers/tiny-stable-diffusion-torch/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://diffusers/tiny-stable-diffusion-torch@refs/pr/2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/diffusers/tiny-stable-diffusion-torch/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
2.68 MB
- Xet hash:
- 5d318df3246d2136f2e5af2fe01e59b9a7bbf505fd9cfcf5260e3a3d994fe6ec
- Size of remote file:
- 2.68 MB
- SHA256:
- 56861600bf1a29357ccb828f66ed2a1747b9026c894ab47aaacb082b20673f41
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