Instructions to use optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant", 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.custom.safetensors from optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant: direct link, hf CLI and curl.
- Browser
- Download file 2.65 MB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant/resolve/main/vae/diffusion_pytorch_model.custom.safetensors
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant/vae/diffusion_pytorch_model.custom.safetensors
-
curl -L -o diffusion_pytorch_model.custom.safetensors https://huggingface.co/optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant/resolve/main/vae/diffusion_pytorch_model.custom.safetensors
2.65 MB
- Xet hash:
- 167f9c9577e672ee04a984247d10169fd0713826ad003eae73605e66a99f1252
- Size of remote file:
- 2.65 MB
- SHA256:
- 7999b516094ac4239121d9f62a37e6be99620e7016220011bb99cf8b1a391aad
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