Instructions to use Nailoong/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nailoong/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("Nailoong/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:
- fe1ad890dfdf5fad92f843714068a4f58f25d4d64dd06cd68504fd9b23b17ede
- Size of remote file:
- 88 Bytes
- SHA256:
- 8402e18d967d2f66a3756237e7a8eb7bdb10546186b93f65bc437aeec79378ab
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