Instructions to use fusing/karlo_unclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/karlo_unclip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/karlo_unclip", 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
Download super_res_first/diffusion_pytorch_model.bin from fusing/karlo_unclip: direct link, hf CLI and curl.
- Browser
- Download file 2.77 GB
-
https://huggingface.co/fusing/karlo_unclip/resolve/main/super_res_first/diffusion_pytorch_model.bin
- Command line
-
hf download hf://fusing/karlo_unclip/super_res_first/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/fusing/karlo_unclip/resolve/main/super_res_first/diffusion_pytorch_model.bin
2.77 GB
- Xet hash:
- 1669462e9340e6e9845040e22287b8e82e82a499fef5297964e73b8c8d72ee62
- Size of remote file:
- 2.77 GB
- SHA256:
- ea5e6b1991ebc9a298f59f39caf63bb229dd5a1f08e9827d18b3d9789f54780a
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