Instructions to use stabilityai/stable-diffusion-x4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-x4-upscaler with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler", 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/diffusion_pytorch_model.bin from stabilityai/stable-diffusion-x4-upscaler: direct link, hf CLI and curl.
- Browser
- Download file 221 MB
-
https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stabilityai/stable-diffusion-x4-upscaler@refs/pr/3/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.bin
221 MB
- Xet hash:
- 052fa7deafe977bdc3954db2eba96aabaa36a3ffce0588cd3801fe89f7440857
- Size of remote file:
- 221 MB
- SHA256:
- 9701b233be392017374527288e155239afa0450365fea2a6a779faa33afc8c37
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