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:
- 3c382b2df7f8d53ab0014a84b58808141cf5a2156ca9e9544afbded586a6a715
- Size of remote file:
- 490 kB
- SHA256:
- e330b3d1d90ada8f9438d31340e794eb96ef358999c814c0bd4e405bab194970
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