Saquib764/omini-kontext
An inference and training framework for multi-image reference editing using the Flux Kontext-dev model with 3D RoPE embeddings.
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This repository provides ComfyUI nodes and patches for the Flux Kontext-dev model, enabling reference-based image editing without altering the base model architecture. It leverages 3D RoPE embeddings to handle multi-image references for spatial editing tasks. The framework supports both training (LoRA fine-tuning) and inference, with integration for the Nunchaku ComfyUI extension for faster execution.
Frequently asked
- What is Saquib764/omini-kontext?
- An inference and training framework for multi-image reference editing using the Flux Kontext-dev model with 3D RoPE embeddings.
- Is omini-kontext open source?
- Yes — Saquib764/omini-kontext is an open-source project tracked on heatdrop.
- What language is omini-kontext written in?
- Saquib764/omini-kontext is primarily written in Jupyter Notebook.
- How popular is omini-kontext?
- Saquib764/omini-kontext has 441 stars on GitHub.
- Where can I find omini-kontext?
- Saquib764/omini-kontext is on GitHub at https://github.com/Saquib764/omini-kontext.