Instructions to use infosave/Qwen-Image-Edit-2509-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/Qwen-Image-Edit-2509-cmf with cortiq:
# one Rust binary, no additional dependencies cargo install cortiq-cli # or a prebuilt binary from github.com/infosave2007/cmf/releases hf download infosave/Qwen-Image-Edit-2509-cmf --include "*.cmf" --local-dir . ls *.cmf # some repos ship more than one quantization
cortiq run FILE.cmf --prompt "What is the capital of France?"
cortiq serve FILE.cmf --port 8080 # OpenAI-compatible server
- Notebooks
- Google Colab
- Kaggle
Qwen-Image-Edit-2509 CMF
Qwen-Image-Edit-2509 for native Rust image editing with cortiq. The ready file includes the transformer, Qwen2.5-VL text/vision encoder, tokenizer, processor, VAE and scheduler. Separate components remain available.
Native editing is available; image-quality validation is incomplete.
Files
- qwen-image-edit-2509-q4tp.cmf โ ready single-file pipeline
- transformer.cmf โ Q4TP diffusion transformer
- text_encoder.cmf โ Qwen2.5-VL encoder, tokenizer and processor
- vae.cmf โ Qwen Image VAE
- scheduler_config.json โ scheduler for separate components
Usage
Install cortiq 0.6.8, then run:
cortiq imagine qwen-image-edit-2509-q4tp.cmf \
--image input.png --prompt "Add a blue knitted scarf." \
--height 1024 --width 1024 --steps 40 --cfg 4 --seed 7 \
--reference-size 1024 --out edited.png
For separate components, pass their folder instead of the single file:
cortiq imagine qwen-image-parts \
--image input.png --prompt "Add a blue knitted scarf." \
--height 1024 --width 1024 --steps 40 --cfg 4 --seed 7 \
--reference-size 1024 --out edited.png
--text-encoder, --vae and --scheduler select explicit component overrides.
Sources
The transformer was converted from QuantStack's Q6_K GGUF; other components come from Qwen. Apache-2.0.
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Model tree for infosave/Qwen-Image-Edit-2509-cmf
Base model
Qwen/Qwen-Image-Edit-2509