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:
- fc9f24bf4dee3c41f9e1c6f88e5a04883eae630296c44ac75ba2a03260ca77ff
- Size of remote file:
- 16 kB
- SHA256:
- 41ad9f395eda8da67084fe9ee4a1f5328317f378f951ea29d8dbc70b0b49fa4b
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