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:
- 7392adb02cf11ea28a6f48337a379e47ecab7134058758be1eb58b15bc6c571c
- Size of remote file:
- 6.88 GB
- SHA256:
- 334a78f820362d4852633545fd32468effc8513f21e8673dfefd1c13223852d2
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