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:
- cbdc1c9f501c3924d0c97aec23b1075bb56674b2413855ba40d23cc9eff12734
- Size of remote file:
- 1 kB
- SHA256:
- 62fa42bc0f349bf17974b501b2e04e150f941778516a7dc2dafa712c6dbb5f91
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