Instructions to use Image-editing/imged_rl_grpo_sft.s_rl.sc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Image-editing/imged_rl_grpo_sft.s_rl.sc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="Image-editing/imged_rl_grpo_sft.s_rl.sc")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Image-editing/imged_rl_grpo_sft.s_rl.sc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add comprehensive model card for EARL
#2
by nielsr HF Staff - opened
This PR adds a comprehensive model card for the EARL model, as presented in The Promise of RL for Autoregressive Image Editing.
It includes:
- Relevant metadata tags:
pipeline_tag: image-to-image,library_name: transformers, andlicense: apache-2.0. - A link to the paper.
- A link to the official GitHub repository.
- The paper's abstract providing an overview of the model.
- A sample usage code snippet demonstrating inference with
vLLM, including necessary image preprocessing helpers and vLLM patching instructions. - A citation section.
This will greatly improve the discoverability and usability of the model on the Hugging Face Hub.
rabiulawal changed pull request status to merged
Replace the structure created with clouds with the G logo as shown in the other image. The logo should blend with clouds correctly



