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:
- 7abd2fa7b75e57edef1caababc5379c8407db3fa6ae893571e7ab07b3569d1aa
- Size of remote file:
- 16 kB
- SHA256:
- 0b309f2107097c6ebb0efd64cebf39b60f4bea472ac773351d93449f5e459330
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