Instructions to use eric890529/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eric890529/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("eric890529/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:
- 7d326087dd2c7807471558e93343143c1beef0e6e225e86559ce694f48ac5b8c
- Size of remote file:
- 6.88 GB
- SHA256:
- a4bb47b09c4688f061571b3c30c1c75526af841e33dd218b3f2b7d72c08cb6b0
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