Model Details
Full Model IDtimbrooks/instruct-pix2pix
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)61.7K
Likes1.2K
Last Modified7/5/2023
Author / Orgtimbrooks
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-to-image", model="timbrooks/instruct-pix2pix")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorsimage-to-imagelicense:mitdiffusers:StableDiffusionInstructPix2PixPipelineregion:us
More image-to-image Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: image-to-image
This model is designed for the image-to-image task. Explore more models for this use case.
All image-to-image Models →📊 Popularity
⬇ Downloads61.7K
❤️ Community Likes1.2K
🛠️ Requirements
- →Install: pip install diffusers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.