Instructions to use Jinstudio/stable-diffusion-x4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/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("Jinstudio/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
- Xet hash:
- cf64b5cd199d897037a62f50a88b1a48530a1ef2096d84054423a3241c78c5d8
- Size of remote file:
- 947 MB
- SHA256:
- 36f27094ab4f113a2021540b85ce05f9ccf3f54f21a04f8be9a2497804a577f7
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