<a rel="ugc" href="https://civarchive.com/models/2170147/all-in-one-z-image-flux-2-klein-t2i-i2i-controlnet-inpaint-outpaint-llm-wan-flux-kontext-qwen-image-sdxl-chroma">New version here</a>Starting from version 2.0, the workflow support txt2img, img2img, Inpaint functionality and uses the built-in LLM node<a target="_blank" rel="ugc" href="https://github.com/AlexYez/comfyui-timesaver">https://github.com/AlexYez/comfyui-timesaver</a>instead of the external Ollama program. TS_Qwen3_Node node can describe images, translate prompts and enhance prompts.If your operating system is Windows and you can't install Qwen3_Node dependencies (don’t have a compiler installed), try to download the <code>.whl</code> file from<a target="_blank" rel="ugc" href="https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases">https://github.com/boneylizard/llama-cpp-python-cu128-gemma3/releases</a>then close ComfyUI, open the <code>python_embeded</code> folder, type <code>cmd</code> in the address bar, and execute the following command.<pre><code>.\python.exe -I -m pip install "path to downloaded.whl file"</code></pre>after installing you can run ComfyUi and install missing custom nodes as normal way.Edit: If <code>.whl</code> install fails, check your Python version and make sure that <code>.whl </code>was build for this version. If it is still fails, try to open <code>.whl </code>as archive and just extract all folders from archive to <code>python_embeded\Lib\site-packages </code>folder===Old versions ===============================This workflow combine power of LLM text models managed by Ollama with Flux image generation. It takes image or text as input, improve prompt or change it according to instructions.Note: To refresh LLM models list you need to reload browser window by pressing F5 key.Since 1.8 there is a blue switcher in Generate Image group to enable or disable context support.Since 1.3 you need to switch blocks on and off and manually copy prompt text between blocks.Information:First of all you need to download and install Ollama from<a target="_blank" rel="ugc" href="https://ollama.com/">https://ollama.com/</a>In current workfow we use 2 LLM models:Img2Img use llava for image tagging and Mistral for manipulationsCombined 1.3 use llava and phi4Txt2Img 1.2 use only phi4Txt2Img 1.1 use only MistralBefore running Comfy you need to download models:open command prompt from Ollama folder (with ollama.exe) and sayollama pull llava:7b (if you have 8-12 Vram)orollama pull llava:13b (for 16+ Vram)and wait for model download and say For img2img and Txt2Img v.1.1ollama pull mistral-smallFor Txt2Img v.1.2 and combined 1.3 useollama pull phi4After download finished start ollama app.exe, wait for tray icon, start Comfy and install missing custom nodes.If not set, select llava in Ollama Vision node and mistral in Translate and Ollama Generate Advance nodes.If you plan to give IMG2IMG instructions in other language turn on and use Translate node.TXT2IMG take as prompt any language====================For Redux IP Tools version you need to download 2 models:<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/sigclip_vision_384/blob/main/sigclip_vision_patch14_384.safetensors">Clip Vision </a>-&gt; models\clip_vision<a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev/blob/main/flux1-redux-dev.safetensors">Style model </a>-&gt; models\style_models

LLM prompt helper (with FLUX.1 Kontext support)

<ul><li>Ollama vision replaced with Miaoshouai_Tagger (it is currently better then any LLM model)</li><li>Few optimizations</li></ul>

Files with SHA256: 6b8731f85a7008d4afb379556312f288b0a228e461f76b9db9c370299aa26d93