Instructions to use krnl/stable-diffusion-x4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krnl/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("krnl/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:
- 2ee6aa15d0c509bddb01a18dfdff4d254899ae4924127f06ae1cb03fee1e9a31
- Size of remote file:
- 111 MB
- SHA256:
- 68e6ec66e1d85ad6f5d017b1489626b36677522cdb568191ef9d5a2ee1df308d
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