Enhance Your Prompts for Flux1 Kontext-Dev Using Ollama

In this workflow, I’ve built an intelligent ComfyUI setup that automatically improves user prompts to better suit the Flux1 Kontext-Dev editing system — a cutting-edge tool for image-to-image editing .

📘 Reference: Flux1 Kontext-Dev Official Guide

🎯 Goal

Flux1 Kontext-Dev relies heavily on clear, rich, and well-structured prompts to guide the editing process. However, many users provide short or vague prompts, leading to poor results.

This workflow solves that by integrating a local large language model (LLM) using Ollama, which rewrites simple prompts into descriptive, detailed prompts tailored for effective image editing.

⚙️ How the Workflow Works

1. User Inputs:

   • An image for editing.

   • A simple or vague text prompt describing the desired change.

2. Ollama Integration (LLM for Prompt Enhancement):

   • The prompt is passed to Gemma-3, a vision-enabled LLM running locally via Ollama.

   • The model rewrites the prompt into a more expressive and visually descriptive version.

3. Enhanced Prompt → Flux1:

   • The improved prompt is fed into the Flux1 Kontext-Dev nodes along with the input image.

   • Flux1 then performs context-aware image editing based on this high-quality prompt.

📦 Requirements

To run this workflow, you need the following components:

✅ 1. Ollama

A powerful local runtime for LLMs and vision models.

🔗 Download and install Ollama:
2. Vision Model: gemma3

Use a multimodal (vision + language) version of Gemma 3 depending on your system’s VRAM:

👉 Model Page:
run gemma3

🔥Uncensored Model:
run huihui_ai/gemma3-abliterated

⚠️ Make sure you're using the multimodal (vision) variant of Gemma 3 to ensure it can process image-based prompts in ComfyUI.

✅ Key Benefits

• Improved editing accuracy from even simple input prompts.

• Local-first, privacy-safe setup using Ollama and ComfyUI.

• Flexible model choices depending on your hardware.

💡 Example

Input prompt:

"change the style to realistic"

Enhanced prompt via Gemma-3:

"Change the image to a photorealistic rendering, with accurate lighting, textures, and details, while preserving the subject’s facial features, pose, and the existing composition."

🌍 Multilingual Prompt Support

This workflow supports prompts in any language, including Arabic, and automatically translates them into expressive English prompts that Flux1 can interpret.

💬 Example:

Input (Arabic):

"حول الستايل إلى حقيقي"

Enhanced Output (English):

"Change the image to a photorealistic rendering, with accurate lighting, textures, and details, while preserving the subject’s facial features, pose, and the existing composition."

This makes the workflow highly accessible to non-English speakers while still benefiting from professional-grade prompt enhancement.

🧩 Workflow Versions

There are two versions of this workflow available:

🔹 Basic Version

• Designed for ease of use.

• Supports 1–2 input images.

🔸 Advanced Version

• Supports up to 4 input images.

• Includes upscaling at the end of the pipeline.

• Built for professional-quality outputs.

• Based on a modified version of this original workflow from Civitai:
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