Instructions to use asoderznik/sdx4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use asoderznik/sdx4-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("asoderznik/sdx4-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:
- 4a76f38f2e8feb71d9522fbadec49fb06d4740ae49c6e154efa9b2af963e01e0
- Size of remote file:
- 111 MB
- SHA256:
- 68e6ec66e1d85ad6f5d017b1489626b36677522cdb568191ef9d5a2ee1df308d
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