Instructions to use umaruchain/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use umaruchain/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("umaruchain/instruct-pix2pix-model", 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:
- 7c4cf262f2aeb21016954cf185d8f0f1345c43b92064357e83d82d9f35c1941f
- Size of remote file:
- 6.88 GB
- SHA256:
- 6adf4e9e7801a291891863182cfa3b94fe58d294dc76ad02b92658e6a85da731
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