Instructions to use IlyasMoutawwakil/tiny-stable-diffusion-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IlyasMoutawwakil/tiny-stable-diffusion-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IlyasMoutawwakil/tiny-stable-diffusion-onnx", 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
Download vae_encoder/model.onnx from IlyasMoutawwakil/tiny-stable-diffusion-onnx: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/IlyasMoutawwakil/tiny-stable-diffusion-onnx/resolve/main/vae_encoder/model.onnx
- Command line
-
hf download hf://IlyasMoutawwakil/tiny-stable-diffusion-onnx/vae_encoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/IlyasMoutawwakil/tiny-stable-diffusion-onnx/resolve/main/vae_encoder/model.onnx
1.08 MB
- Xet hash:
- d0f42a07edd3575147813d1e5025ceff93bdb0ac52e908758b39816f0393b2b1
- Size of remote file:
- 1.08 MB
- SHA256:
- a8fa085d07073daf8018c0c989e7cb4f04317687cfa27309fe2aa0f2e4cbf893
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