Instructions to use tsaiyue/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tsaiyue/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("tsaiyue/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
instruct-pix2pix-model / logs /instruct-pix2pix-xl /events.out.tfevents.1705042743.9b9de30438da.14708.0
- Xet hash:
- e33ff42cd4228196a880608c5cc5966b736b3ca97a0afe724d360e552787ccab
- Size of remote file:
- 568 Bytes
- SHA256:
- 92dd2732f6acf2fd65b0c136df262549ac1cf10e8e93b7e21bb2a2685e978a32
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