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
Upload diffusion_pytorch_model.bin .pt
#3
by csaybar - opened
vqvae/diffusion_pytorch_model.bin/n.pt
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oid sha256:76188974d1678f8cfe43a06006850f657cfdaec588ba51b20b8665d2b51fee74
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size 14036578
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