FLUX-Advanced-Img2Img workflow. Rectified flow Inversion [RF inversion] [Ref2Img] - V2

This ComfyUI image-to-image workflow uses Google's rectified-flow inversion to edit an input image with prompts, including style transfer, inpainting, and face swaps; it takes an image, a standard prompt, and an optional unsampling prompt, and produces an edited output image.

The workflow first unsamples the input image into noise, optionally using a textual attention prompt, then sends that noise to a sampler with a standard prompt.

The added unsampling step lets you control the noise derived from the input image before sampling.

The optional unsampling prompt can indicate which part of the image to mask for denoising, and the result is an edited image.

Use it in ComfyUI; additional instructions are provided within the workflow.

Its listed base model is Flux.1 D.

The workflow names these model files and models: clip_l.safetensors, Flux.1-dev-Controlnet-Depth.safetensors, Flux.1-dev-Controlnet-Upscaler.safetensors, flux1-dev-turbo8-fp8.safetensors, microsoft/Florence-2-base, and t5xxl_fp8_e4m3fn.safetensors.

It names these ComfyUI nodes: PromptBuilder //Inspire, RepeatLatentBatch, OverrideCLIPDevice, ImageResizeKJ, ControlNetApplyAdvanced, ConditioningZeroOut, VAELoader, Seed Everywhere, Power Lora Loader (rgthree), Image Comparer (rgthree), FluxForwardODESampler, DisableNoise,

It also names these ComfyUI nodes: ShowText|pysssss, iToolsPromptStylerExtra, Fast Groups Bypasser (rgthree), CR Simple Image Compare, PreviewImage, Florence2Run, OutFluxModelSamplingPred, InFluxModelSamplingPred, Fast Groups Muter (rgthree), DownloadAndLoadFlorence2Model, Image

Use the optional unsampling prompt when you want to identify which part of the image should be masked for denoising.

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Consider Hyper and Turbo merged models or LoRAs of Flux, which the description recommends.

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Before use, verify that PromptBuilder //Inspire, RepeatLatentBatch, OverrideCLIPDevice, and ImageResizeKJ are available in ComfyUI.

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Before use, verify that the named model files and models are available: clip_l.safetensors, Flux.1-dev-Controlnet-Depth.safetensors, Flux.1-dev-Controlnet-Upscaler.safetensors, flux1-dev-turbo8-fp8.safetensors, microsoft/Florence-2-base, and t5xxl_fp8_e4m3fn.safetensors.

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