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:
- 5cddb69b778315f20018767ef387ddfc9a7befb87fc4b0ab139178fdd749f934
- Size of remote file:
- 3.44 GB
- SHA256:
- e8bbf9b61a3a7b482b8a376faa393a9f2bc863a38b3d8f311f22057715f04a57
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