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SIMPLE FLUX GGUF INPAINTING WORKFLOW by weshouldhaveshotguns
Runtime profile
Source description
SIMPLE FLUX GGUF INPAINTING WORKFLOW by weshouldhaveshotguns
This workflow builds on the SIMPLE FLUX GGUF setup, tailored for inpainting in ComfyUI. It’s designed to keep things simple, accessible, and optimized, using GGUF-quantized models for low-VRAM GPUs.
Key Features:
Easy Setup: Includes links to all required and optional files, so you’re ready to go without any hassle.
Inpainting Settings Rundown: Get a quick breakdown of key settings used for targeted inpainting modifications.
Inpainting Tips: Handy best practices for inpainting prompts, helping you seamlessly blend new elements into your original image.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Use this ComfyUI workflow for targeted inpainting edits: it takes an image and prompt text, applies the inpainting process, and saves an edited image.
The workflow loads and resizes an image, encodes prompt text, applies inpainting conditioning, samples, decodes, and saves an image.
It also includes mask blurring, Flux guidance, random noise, scheduling, GGUF model loading, and custom sampling.
The workflow names LoadAndResizeImage for the image, CLIPTextEncode for prompt text, and SaveImage for the edited output.
The workflow is tailored for inpainting in ComfyUI and uses GGUF-quantized models for low-VRAM GPUs.
Its description includes links to required and optional files for setup.
Listed model files are ae.safetensors, clip_l.safetensors, flux1-dev-Q8_0.gguf, and t5-v1_1-xxl-encoder-Q8_0 (1).gguf.
Named ComfyUI components include BasicGuider, BasicScheduler, CLIPTextEncode, DualCLIPLoaderGGUF, FluxGuidance, ImpactGaussianBlurMask, InpaintModelConditioning, and KSamplerSelect.
Other named components are LoadAndResizeImage, Power Lora Loader (rgthree), RandomNoise, SamplerCustomAdvanced, SaveImage, UnetLoaderGGUF, VAEDecode, and VAELoader.
The workflow includes an inpainting settings rundown for targeted modifications and prompt tips for blending new elements into the original image.
The listed base model is Flux.1 D.
Before using it, verify that every listed model file and ComfyUI component is available in your setup.
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Sources
1 sourceSource excerpts
1 excerptSource context: 540 downloads · Type Workflows · Base model Flux.1 D
Built to be intuitive, this workflow is ideal for both newcomers and seasoned users looking to explore inpainting in Flux. Dive in, experiment, and get the most out of your images!
Estimated VRAM requirement
Estimate unavailable
12.1 GB across 2 of 7 model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
20 requirementsVAE · Unknown
Text encoder · 235 MB · SAFETENSORS · Unknown
DualCLIPLoaderGGUF
Not resolvedText encoder · Unknown
Checkpoint · 11.8 GB · GGUF · fp16 · Unknown
t5-v1_1-xxl-encoder-Q8_0 (1).gguf
Not resolvedText encoder · Unknown
VAEDecode
Not resolvedVAE · Unknown
VAELoader
Not resolvedVAE · Unknown
BasicGuider
Not resolvedNode pack · Unknown
BasicScheduler
Not resolvedNode pack · Unknown
CLIPTextEncode
Not resolvedNode pack · Unknown
FluxGuidance
Node pack · Unknown
ImpactGaussianBlurMask
Not resolvedNode pack · Unknown
InpaintModelConditioning
Not resolvedNode pack · Unknown
KSamplerSelect
Not resolvedNode pack · Unknown
LoadAndResizeImage
Not resolvedNode pack · Unknown
Power Lora Loader (rgthree)
Not resolvedNode pack · Unknown
RandomNoise
Not resolvedNode pack · Unknown
SamplerCustomAdvanced
Not resolvedNode pack · Unknown
SaveImage
Not resolvedNode pack · Unknown
UnetLoaderGGUF
Not resolvedNode pack · Unknown
