Instructions to use diffusers/pix2pix-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/pix2pix-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/pix2pix-sd", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download instruct-pix2pix-00-22000.ckpt from diffusers/pix2pix-sd: direct link, hf CLI and curl.
- Browser
- Download file 7.7 GB
-
https://huggingface.co/diffusers/pix2pix-sd/resolve/refs%2Fpr%2F1/instruct-pix2pix-00-22000.ckpt
- Command line
-
hf download hf://diffusers/pix2pix-sd@refs/pr/1/instruct-pix2pix-00-22000.ckpt
-
curl -L -o instruct-pix2pix-00-22000.ckpt https://huggingface.co/diffusers/pix2pix-sd/resolve/refs%2Fpr%2F1/instruct-pix2pix-00-22000.ckpt
7.7 GB
- Xet hash:
- 1438ac1275d1eeb3f4972ef60abbc6ae28386ded98e1aca9201073f09b6498b0
- Size of remote file:
- 7.7 GB
- SHA256:
- ffd280ddcfc8234e4d28b93641cb83169cebcb4d70998df9ee2eabb4d705374a
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