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 /1704987820.8140776 /events.out.tfevents.1704987820.afbe098e4b1e.19338.1
- Xet hash:
- 5d250905cb04e436ab46168da93fb321b9d72fe1292dedf751f7096ce425bc90
- Size of remote file:
- 2.38 kB
- SHA256:
- b337c1821544687988339221abb9f857770ed1aa172d258daf897399fbda9a03
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