Instructions to use timbrooks/instruct-pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timbrooks/instruct-pix2pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timbrooks/instruct-pix2pix", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix deprecated float16/fp16 variant loading through new `version` API. (#17)
- Fix deprecated float16/fp16 variant loading through new `version` API. (365333d06bab7a0a1816f90815ae5ef5178933a4)31519b5
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (ccf2f1ccf5a0af00fdf689c804470ac09043904f)c0d6477 -
add model
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