Instructions to use ChanSolve/instructPix2Pix-deblurring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChanSolve/instructPix2Pix-deblurring with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChanSolve/instructPix2Pix-deblurring", 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 checkpoint-15000/optimizer.bin from ChanSolve/instructPix2Pix-deblurring: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/ChanSolve/instructPix2Pix-deblurring/resolve/main/checkpoint-15000/optimizer.bin
- Command line
-
hf download hf://ChanSolve/instructPix2Pix-deblurring/checkpoint-15000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ChanSolve/instructPix2Pix-deblurring/resolve/main/checkpoint-15000/optimizer.bin
6.88 GB
- Xet hash:
- 5eceb1663cc529f0c78c80d71380f74a7d8898cad4816a650c9ad7f911c0365d
- Size of remote file:
- 6.88 GB
- SHA256:
- d9ff14ce2cd6ee35cdb8773948c6be71be8badce4beb6f80230d18d9c13c5078
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