<h3 id="comfyui-workflow-(image-generation)">Comfyui Workflow (Image Generation)</h3><hr />the minified version of iGEN II<ul><li>required Custom Nodes:<ul><li>ComfyUI_Eclipse: Version 2.4.49, <a target="_blank" rel="ugc" href="https://github.com/r-vage/ComfyUI_Eclipse">GitHub</a>, <a target="_blank" rel="ugc" href="https://registry.comfy.org/publishers/rvage/nodes/ComfyUI_Eclipse">ComfyReg</a></li><li>ComfyUI_SmartLML: Version 2.5.4, <a target="_blank" rel="ugc" href="https://github.com/r-vage/ComfyUI_SmartLML">GitHub</a>, <a target="_blank" rel="ugc" href="https://registry.comfy.org/publishers/rvage/nodes/ComfyUI_SmartLML">ComfyReg</a></li><li><a target="_blank" rel="ugc" href="https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler">https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler</a></li><li>installed frontend is currently: 1.37.11</li></ul></li><li>if you need help installing nunchaku or how to use the nodes check the readme files in the repo <a target="_blank" rel="ugc" href="https://github.com/r-vage/ComfyUI_Eclipse/tree/main/Readme">readme</a><a target="_blank" rel="ugc" href="https://github.com/r-vage/ComfyUI_RvTools/tree/main/Readme"> </a>folder at github.</li><li>llama-cpp-python is needed for the loading_method: GGUF (llama-cpp-python) in the Smart LML Node<ul><li><a target="_blank" rel="ugc" href="https://github.com/r-vage/ComfyUI_Eclipse/releases/download/wheels/llama_cpp_python-0.3.16-cp312-cp312-win_amd64.whl">https://github.com/r-vage/ComfyUI_Eclipse/releases/download/wheels/llama_cpp_python-0.3.16-cp312-cp312-win_amd64.whl</a></li></ul></li></ul><ul><li>nunchaku wheels:<ul><li><a target="_blank" rel="ugc" href="https://github.com/nunchaku-tech/nunchaku/releases">https://github.com/nunchaku-tech/nunchaku/releases</a></li><li><a target="_blank" rel="ugc" href="https://github.com/nunchaku-tech/nunchaku/releases/download/v1.0.2/nunchaku-1.0.2+torch2.9-cp312-cp312-win_amd64.whl">https://github.com/nunchaku-tech/nunchaku/releases/download/v1.0.2/nunchaku-1.0.2+torch2.9-cp312-cp312-win_amd64.whl</a></li></ul></li><li>nunchaku model files:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/spooknik/Fluxmania-SVDQ/tree/main">https://huggingface.co/spooknik/Fluxmania-SVDQ/tree/main</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/nunchaku-tech/nunchaku-flux.1-dev/tree/main">https://huggingface.co/nunchaku-tech/nunchaku-flux.1-dev/tree/main</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/nunchaku-tech/nunchaku-qwen-image">https://huggingface.co/nunchaku-tech/nunchaku-qwen-image</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/nunchaku-tech/nunchaku-qwen-image-edit-2509/tree/main">https://huggingface.co/nunchaku-tech/nunchaku-qwen-image-edit-2509/tree/main</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/nunchaku-tech">https://huggingface.co/nunchaku-tech</a></li></ul></li><li>Wildcards<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/20868?modelVersionId=532723">https://civarchive.com/models/20868?modelVersionId=532723</a></li></ul></li></ul>

iGEN for FLUX1/2 | SD | HiDream | Qwen | Z-Image (STD | GGUF | Nunchaku)

<ul><li>requires the latest versions of SmartLML 2.4.0 (refactored and fixed, it also supports wd14 now and has AMD/ROCm support) and Eclipse (2.4.0)<ul><li>SmartLML uses its own folder now in models/SmartLML/templates with a reduced number of templates in json.example format (repo folder) to keep them unsaved and to protect your changes to the user folder templates.</li><li>on the first run they are extracted to the new folder. if you already have custom templates copy them from models/eclipse/smartlm_templates to the new folder to use them. same applies to the config files of smartlml</li></ul></li><li>some visual updates</li><li>the re-upload uses florence2 for detection, the initial model for detailing.<ul><li>i've created 4 preset templates with florence2-base for eye, mouth, face and hand detection.</li></ul></li><li>since i use ollama anyways e.g. for mistral/ministral i dont need transformers v5 (florence2 is way better for detection tasks but unsupported in v5)</li><li>updated the load image and load image from folder groups to use the prompt if available, its joined into the pipe and will mix up with your prompts if not empty.</li></ul>

Files with SHA256: 37dd28b7c9e5ea8bc90c7e609e465ad7bfd9e3a208766743ba6acc6acdd00ed3