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This is an Advanced Img2Img workflow for ComfyUI based on google's rectified flow inversion. It allows you to change your image , transfer style, inpaint, face swap etc... only by using prompts . No manual inpainting...
Perfil de ejecución
Descripción de la fuente
This is an Advanced Img2Img workflow for ComfyUI based on google's rectified flow inversion. It allows you to change your image , transfer style, inpaint, face swap etc... only by using prompts . No manual inpainting and controlnets.
To simplify: imagine basic img2img workflow, where you send input image -> make random noise from it -> send it to sampler and get output image, but in that case you can control what kind of noise you are getting from input image, depending on your settings. For instance, you can change either, part of image(inpainting) or transfer image style(ip-adapter).
So it looks like this: input image -> unsample image to noise (with additional "textual attention mask" a.k.a prompt input for img2noise unsampler. It should work good enough even without prompt, but you can specify what part of image you want to get "masked" for denoising) -> noise from unsampler goes to the sampler and you get output image edited with unsampled noise.
Comentario generado por IA
Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.
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.
Sugerencia · sin verificar
Consider Hyper and Turbo merged models or LoRAs of Flux, which the description recommends.
Sugerencia · sin verificar
Before use, verify that PromptBuilder //Inspire, RepeatLatentBatch, OverrideCLIPDevice, and ImageResizeKJ are available in ComfyUI.
Sugerencia · sin verificar
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.
Sugerencia · sin verificar
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Fuentes
1 fuenteExtractos de fuentes
1 extractoSource context: 665 downloads · Type Workflows · Base model Flux.1 D
In other words it's almost like basic img2img wflow, but with additional "unsampling" step that provides more controled noise. [input image -> unsampler (with optional prompt)-> sampler (with standart prompt)->output image ]
I recommend to use Hyper and Turbo merged models or loras of Flux, so instead of 282 steps you can do 122 with similar quiality.
RF-Inversion
GitHub - logtd/ComfyUI-Fluxtapoz: Nodes for image juxtaposition for Flux in ComfyUI
Some stuff from youtube: (1) Turbo-Powered Unsampler & Inpainting with Flux.1 in SECONDS with ComfyUI! - YouTube
(1) Google RF Inversion: Image Editing with Prompting! - YouTube
More instructions provided in the workflow itself.
Requisito de VRAM estimado
Estimación no disponible
4,79 GB en 2 de 11 archivos de modelos. Total de archivos de modelos + 25 % de sobrecarga de carga + 2 GB de margen de ejecución, redondeado hacia arriba.
Requisitos
51 requisitosText encoder · 235 MB · SAFETENSORS · Unknown
DualCLIPLoader
No resueltoText encoder · Unknown
Flux.1-dev-Controlnet-Depth.safetensors
No resueltoControlNet · Unknown
Flux.1-dev-Controlnet-Upscaler.safetensors
No resueltoUpscaler · Unknown
flux1-dev-turbo8-fp8.safetensors
No resueltoCheckpoint · Unknown
Vision model · Hugging Face · microsoft/Florence-2-base
OverrideVAEDevice
No resueltoVAE · Unknown
Text encoder · 4.56 GB · SAFETENSOR · fp8 · Unknown
VAEDecode
No resueltoVAE · Unknown
VAEEncode
No resueltoVAE · Unknown
VAELoader
No resueltoVAE · Unknown
AIO_Preprocessor
No resueltoPaquete de nodos · Unknown
Anything Everywhere3
No resueltoPaquete de nodos · Unknown
BasicGuider
No resueltoPaquete de nodos · Unknown
Paquete de nodos · Unknown
ConditioningZeroOut
No resueltoPaquete de nodos · Unknown
ControlNetApplyAdvanced
No resueltoPaquete de nodos · Unknown
ControlNetLoader
No resueltoPaquete de nodos · Unknown
CR Simple Image Compare
No resueltoPaquete de nodos · Unknown
CR Text Input Switch
No resueltoPaquete de nodos · Unknown
DisableNoise
No resueltoPaquete de nodos · Unknown
DownloadAndLoadFlorence2Model
No resueltoPaquete de nodos · Unknown
easy imageSize
No resueltoPaquete de nodos · Unknown
Fast Groups Bypasser (rgthree)
No resueltoPaquete de nodos · Unknown
Fast Groups Muter (rgthree)
No resueltoPaquete de nodos · Unknown
FlipSigmas
No resueltoPaquete de nodos · Unknown
Florence2Run
No resueltoPaquete de nodos · Unknown
FluxDeGuidance
No resueltoPaquete de nodos · Unknown
FluxForwardODESampler
No resueltoPaquete de nodos · Unknown
FluxReverseODESampler
No resueltoPaquete de nodos · Unknown
Image Comparer (rgthree)
No resueltoPaquete de nodos · Unknown
Image Inset Crop (rgthree)
No resueltoPaquete de nodos · Unknown
ImageResizeKJ
No resueltoPaquete de nodos · Unknown
ImageScaleToTotalPixels
No resueltoPaquete de nodos · Unknown
InFluxModelSamplingPred
No resueltoPaquete de nodos · Unknown
INTConstant
No resueltoPaquete de nodos · Unknown
iToolsPromptStylerExtra
No resueltoPaquete de nodos · Unknown
Load image with metadata [Crystools]
No resueltoPaquete de nodos · Unknown
OutFluxModelSamplingPred
No resueltoPaquete de nodos · Unknown
OverrideCLIPDevice
No resueltoPaquete de nodos · Unknown
Power Lora Loader (rgthree)
No resueltoPaquete de nodos · Unknown
Preview from metadata [Crystools]
No resueltoPaquete de nodos · Unknown
PreviewImage
No resueltoPaquete de nodos · Unknown
PromptBuilder //Inspire
No resueltoPaquete de nodos · Unknown
RepeatLatentBatch
No resueltoPaquete de nodos · Unknown
SamplerCustomAdvanced
No resueltoPaquete de nodos · Unknown
SaveImage
No resueltoPaquete de nodos · Unknown
Seed Everywhere
No resueltoPaquete de nodos · Unknown
ShowText|pysssss
No resueltoPaquete de nodos · Unknown
Text to Conditioning
No resueltoPaquete de nodos · Unknown
UNETLoader
No resueltoPaquete de nodos · Unknown
