Instructions to use DEVAIEXP/SUPIR_F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DEVAIEXP/SUPIR_F with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DEVAIEXP/SUPIR_F", 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:
- 3b1031600e400efc200da1ce69a7a71be08242a80683e0289fde99fd392bde29
- Size of remote file:
- 132 MB
- SHA256:
- d77d99357782108db528eee03357e0150d96953932d9079b6ab6f6c57cfc680b
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