Instructions to use CompVis/ldm-super-resolution-4x-openimages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/ldm-super-resolution-4x-openimages with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/ldm-super-resolution-4x-openimages", 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:
- a5b45a3149856e0232a8d1d9ad6df2e10810557dfb6f78797fe90fe2e6b07e03
- Size of remote file:
- 221 MB
- SHA256:
- c58407fc41070ccb9ab63f4ddfb1d13a3e607881033541e41232e41c66b877c9
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