<h2 id="summary-42phwvihf">Summary</h2>by <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> @Shenzhen, China This is a ControlNet network designed for any lineart or outline sketches, compatible with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>. The ControlNet model parameters are approximately 1.4B.This model is not compatible with XLabs loaders and samplers. Please use <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> Flux ControlNet ComfyUI suite. This is a Flow matching structure Flux-dev model, utilizing a scalable Transformer module as the backbone of this ControlNet.We've implemented a dual-stream Transformer structure, which enhances alignment and expressiveness for various types of lineart and outline conditions without increasing inference time. The model has also been trained for alignment with both T5 and clip-l TextEncoders, ensuring balanced performance between conditioning images and text prompts. For more details on the <a target="_blank" rel="ugc" href="http://Flux.dev">Flux.dev</a> model structure, visit: <a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-dev">https://huggingface.co/black-forest-labs/FLUX.1-dev</a>This ControlNet is compatible with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>'s fp16/fp8 and other models quantized with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>. ByteDance 8/16-step distilled models have not been tested.<ul><li>The example workflow uses the flux1-dev-Q4_K_S.gguf quantized model.</li><li>Generation quality: <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp16)&gt;&gt;<a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp8)&gt;&gt;Other quantized models</li><li>Generation speed: <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp16)&lt;&lt;&lt; <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp8) &lt;&lt;&lt; Other quantized models</li></ul><h2 id="performance-knzcp2zfg">Performance</h2><h3 id="performance-across-different-sizes-and-scenarios-ct0e8m77d">Performance Across Different Sizes and Scenarios</h3>Tested in various common scenarios such as industrial design, architecture, interior design, animation, games, and photography. Make sure to craft your prompts well—precision is more important than length! Performance examples are shown below:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/235898c8-e63b-4c9f-89d2-537e28b6d1c6/width=525/235898c8-e63b-4c9f-89d2-537e28b6d1c6.jpeg" /><h3 id="recommended-settings-9q3jj7dwz">Recommended Settings</h3><ul><li>Image resolution: 720px or above on the short edge</li><li>controlnet strength: 0.6~0.85 (adjust as needed)</li><li>guidance: 3.0~5.0 (adjust as needed)</li><li>steps: 30 or more</li></ul><h2 id="usage-qoy2da14j">Usage</h2><ul><li>Download the model from <a target="_blank" rel="ugc" href="https://huggingface.co/TheMistoAI/MistoLine_Flux.dev">MistoLine_</a><a target="_blank" rel="ugc" href="http://Flux.dev">Flux.dev</a><a target="_blank" rel="ugc" href="https://huggingface.co/TheMistoAI/MistoLine_Flux.dev">_v1</a></li><li>Place the model in the ComfyUI\models\TheMisto_model\ directory</li><li>The directory will be automatically created the first time you run the ComfyUI's <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> Flux ControlNet ComfyUI suite</li><li>Run using ComfyUI; an example workflow can be found in the workflow folder</li><li>Note: The length and width of the conditioning image must be divisible by 16, or an error will occur.</li></ul><h2 id="license-i4o7q2882">License</h2>Align to the FLUX.1 [dev] Non-Commercial License This ComfyUI node falls under ComfyUI This model is for research and educational purposes only and may not be used for any form of commercial purposes.

MistoControlNet-Flux-dev

mistocontrolnetFlux_v10.bin

v1.0

<h2 id="summary-5h7711xby">Summary</h2>by <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> @Shenzhen, China This is a ControlNet network designed for any lineart or outline sketches, compatible with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>. The ControlNet model parameters are approximately 1.4B.This model is not compatible with XLabs loaders and samplers. Please use <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> Flux ControlNet ComfyUI suite. This is a Flow matching structure Flux-dev model, utilizing a scalable Transformer module as the backbone of this ControlNet.We've implemented a dual-stream Transformer structure, which enhances alignment and expressiveness for various types of lineart and outline conditions without increasing inference time. The model has also been trained for alignment with both T5 and clip-l TextEncoders, ensuring balanced performance between conditioning images and text prompts. For more details on the <a target="_blank" rel="ugc" href="http://Flux.dev">Flux.dev</a> model structure, visit: <a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-dev">https://huggingface.co/black-forest-labs/FLUX.1-dev</a>This ControlNet is compatible with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>'s fp16/fp8 and other models quantized with <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>. ByteDance 8/16-step distilled models have not been tested.<ul><li>The example workflow uses the flux1-dev-Q4_K_S.gguf quantized model.</li><li>Generation quality: <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp16)&gt;&gt;<a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp8)&gt;&gt;Other quantized models</li><li>Generation speed: <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp16)&lt;&lt;&lt; <a target="_blank" rel="ugc" href="http://Flux1.dev">Flux1.dev</a>(fp8) &lt;&lt;&lt; Other quantized models</li></ul><h2 id="performance-4uwiqyvvm">Performance</h2><h3 id="performance-across-different-sizes-and-scenarios-lmogqontv">Performance Across Different Sizes and Scenarios</h3>Tested in various common scenarios such as industrial design, architecture, interior design, animation, games, and photography. Make sure to craft your prompts well—precision is more important than length! Performance examples are shown below:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/574cb6d7-315e-4d22-b9a6-5ba34eb6f8f0/width=525/574cb6d7-315e-4d22-b9a6-5ba34eb6f8f0.jpeg" />Recommended Settings<ul><li>Image resolution: 720px or above on the short edge</li><li>controlnet strength: 0.6~0.85 (adjust as needed)</li><li>guidance: 3.0~5.0 (adjust as needed)</li><li>steps: 30 or more</li></ul><h2 id="usage-0cwf7a9os">Usage</h2><ul><li>Download the model from <a target="_blank" rel="ugc" href="https://huggingface.co/TheMistoAI/MistoLine_Flux.dev">MistoLine_</a><a target="_blank" rel="ugc" href="http://Flux.dev">Flux.dev</a><a target="_blank" rel="ugc" href="https://huggingface.co/TheMistoAI/MistoLine_Flux.dev">_v1</a></li><li>Place the model in the ComfyUI\models\TheMisto_model\ directory</li><li>The directory will be automatically created the first time you run the ComfyUI's <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> Flux ControlNet ComfyUI suite</li><li>Run using ComfyUI; an example workflow can be found in the workflow folder</li><li>Note: The length and width of the conditioning image must be divisible by 16, or an error will occur.</li></ul><h2 id="license-kntp2sikf">License</h2>Align to the FLUX.1 [dev] Non-Commercial License This ComfyUI node falls under ComfyUI This model is for research and educational purposes only and may not be used for any form of commercial purposes.<h2 id="business-cooperation-gkju6ax49">Business Cooperation</h2>For any custom model training, commercial cooperation, AI application development, or other business collaboration matters, please contact us.<ul><li>Business: <a target="_blank" rel="ugc" href="mailto:info@themisto.ai">info@themisto.ai</a></li><li>Investment: <a target="_blank" rel="ugc" href="mailto:investment@themisto.ai">investment@themisto.ai</a> We also welcome investors to inquire for more information.</li></ul><h2 id="media-58v3f3ku5">Media</h2><h3 id="international:-ndrqms32m">International:</h3>Website: <a target="_blank" rel="ugc" href="https://themisto.ai/￼Discord">https://themisto.ai/ Discord</a>: <a target="_blank" rel="ugc" href="https://discord.gg/fTyDB2CU￼X">https://discord.gg/fTyDB2CU X</a>: <a target="_blank" rel="ugc" href="https://x.com/AiThemisto79359">https://x.com/AiThemisto79359</a><h3 id="mainland-china-():-xvtzcrylc">Mainland China (中国大陆):</h3>Website: <a target="_blank" rel="ugc" href="https://themisto.ai/￼WeChat">https://themisto.ai/ WeChat</a> Official Account: TheMisto AI (Shenzhen Mixed Tuple Technology Co., Ltd.) Xiaohongshu: <a target="_blank" rel="ugc" href="http://TheMisto.ai">TheMisto.ai</a> (Xiaohongshu ID: 4211745997)

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