Can Flux Color Manga? ComfyUI ControlNet for Flux (Manga Coloring Workflow) — v1.0

This ComfyUI ControlNet workflow is for coloring manga with Flux.1 S; it takes an image and text and can produce a preview and a saved image.

Its described stages preprocess the image, apply ControlNet and Flux guidance, then decode the image.

The graph presents two outputs: a preview and a saved image.

The workflow is listed on Civitai under Lordcaocao2025: https://civitai.com/models/2056661.

Files named for the workflow are `clip_l.safetensors`, `t5xxl_fp8_e4m3fn_scaled.safetensors`, `diffusion_pytorch_model.safetensors`, `flux1-dev-fp8.safetensors`, and `fluxVaeSft_aeSft.safetensors`.

The named node packs are `comfyui_controlnet_aux` and `rgthree-comfy`.

If you want to adjust the workflow, inspect FluxGuidance, KSamplerSelect, BasicScheduler, RandomNoise, and Power Lora Loader (rgthree).

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Before setup, check that `diffusion_pytorch_model.safetensors` is the ControlNet you want, `flux1-dev-fp8.safetensors` is the UNet you intend, `comfyui_controlnet_aux` is the node pack you expect, and `fluxVaeSft_aeSft.safetensors` is available.

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The description calls the result “not that great”; review the linked tutorial before deciding whether it suits your needs.

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