Instructions to use diffusers/sd-vae-ft-mse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/sd-vae-ft-mse 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/sd-vae-ft-mse", 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 requirements.txt from diffusers/sd-vae-ft-mse: direct link, hf CLI and curl.
- Browser
- Download file 27 Bytes
-
https://huggingface.co/diffusers/sd-vae-ft-mse/resolve/main/requirements.txt
- Command line
-
hf download hf://diffusers/sd-vae-ft-mse/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/diffusers/sd-vae-ft-mse/resolve/main/requirements.txt
27 Bytes
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| diffusers | |