Instructions to use hf-internal-testing/taesd-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/taesd-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/taesd-diffusers", 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 diffusion_pytorch_model.bin from hf-internal-testing/taesd-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 9.83 MB
-
https://huggingface.co/hf-internal-testing/taesd-diffusers/resolve/596d46a4e786ea62e6699c640d5a284334d742bd/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/taesd-diffusers@596d46a4e786ea62e6699c640d5a284334d742bd/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hf-internal-testing/taesd-diffusers/resolve/596d46a4e786ea62e6699c640d5a284334d742bd/diffusion_pytorch_model.bin
9.83 MB
- Xet hash:
- 614e67179fe65cccd37991c83dcd9b7202943a94bddf19509fb5423a00f911be
- Size of remote file:
- 9.83 MB
- SHA256:
- 10edf81156f91c715abb17eb6b399d6165ee2eda0c90d37f87d12d981dccacd5
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