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5 Open Source AI Models for Image Editing

··231 words·2 mins·

🎨 Edit images with text. No subscriptions, no paid APIs — just open source models.

These 5 models are transforming AI image editing, and you can run them locally:

1. 🖼️ FLUX.2 [klein] 9B (Black Forest Labs) Generation and editing in a single model. Inference in under 1 second on consumer GPUs. Supports multi-reference editing.

2. ✏️ Qwen-Image-Edit-2511 (Alibaba Cloud) Excellent character consistency in multi-person images. Community LoRAs included in the base model.

3. ⚡ FLUX.2 [dev] Turbo (fal) Ultra-fast LoRA adapter: generates high-quality images in just 8 steps (vs 50 for standard). 6x faster.

4. 🐱 LongCat-Image-Edit (Meituan) Bilingual editing (English and Chinese). Great at preserving non-edited parts of an image. Ideal for multi-step edits.

5. 🤔 Step1X-Edit-v1p2 (StepFun AI) Incorporates reasoning: the model “thinks” before editing, then reviews the result. Better comprehension of complex instructions.

💡 Explanation in a nutshell
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These models let you edit images simply by describing what you want to change in text. For example: “change the background to a beach” or “add sunglasses to the person.” They’re free and can be run locally, making them ideal for creative projects without API costs.

More information at the link 👇

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
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Juan Pedro Bretti Mandarano