Instructions to use CSWRY/SeeSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CSWRY/SeeSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CSWRY/SeeSR", 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:
- ed29c315c86fcda36b29f6f5ef772f60c72c2a5758a6ff39dd623393e66606c9
- Size of remote file:
- 1.96 GB
- SHA256:
- 4f1b33d1607af0c26e6c460beb0ea348933801c2576eb9f58c61f74afbc02a77
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