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:
- 2276b9d7c36f82ad566395499ecea2ca8c9480583fae7b1fee727de8b55a1829
- Size of remote file:
- 14.8 kB
- SHA256:
- 6e5512c2996aeb1162d4fe016e2a5fd5074164d27f25670dbb5b929aec4d7b02
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