Instructions to use jaruce/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaruce/instruct-pix2pix-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jaruce/instruct-pix2pix-model", torch_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
- Xet hash:
- dc565b8dfed4f2c7f69a509873279902fcfda9d4211c36c9e0328dca3d6547f1
- Size of remote file:
- 3.44 GB
- SHA256:
- b9fccbb1ac5f37f7461ccbf2c875b3c3ae13613672a5855cf060b5db3ee2b3da
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