Instructions to use UCSC-VLAA/gpt-image-edit-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UCSC-VLAA/gpt-image-edit-training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="UCSC-VLAA/gpt-image-edit-training")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UCSC-VLAA/gpt-image-edit-training", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card for GPT-Image-Edit (#2)
Browse files- Improve model card for GPT-Image-Edit (880c4408de40b754886e184b36d25bfafa74e694)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>