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:
- 1dfe6ecf19738a526fae9675775f2c1dbe4c784457a4edd29ca90be9194f5218
- Size of remote file:
- 221 MB
- SHA256:
- 33478c297ec29218100f8ee86007b3ab4c2701896d5ca5c9e3a84fc29f678183
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