SIMPLE FLUX INPAINTING WORKFLOW by weshouldhaveshotguns
Runtime profile
Source description
SIMPLE FLUX INPAINTING WORKFLOW by weshouldhaveshotguns
This inpainting workflow brings the simplicity and clarity of the SIMPLE FLUX DEV setup to targeted image modifications in ComfyUI. Designed for standard Flux1.dev models, it provides a streamlined and user-friendly approach for anyone looking to dive into inpainting with Flux.
Key Features:
Effortless Setup: Everything you need to start is included, with links to required files, ensuring a smooth setup process.
Clear Inpainting Settings Guide: A concise breakdown of the essential settings for inpainting modifications, making it easy to adjust and understand how each component impacts the output.
Targeted Inpainting Tips and Best Practices: Gain insights into optimizing inpainting settings, helping you achieve consistent results while blending new elements seamlessly with your source images.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
SIMPLE FLUX INPAINTING by weshouldhaveshotguns is a ComfyUI workflow for targeted image modifications: it takes a source image, applies Flux inpainting guidance and conditioning, and produces an edited image that can be saved.
It loads and resizes the source image, blurs a mask, applies inpainting conditioning and Flux guidance, samples and decodes the result, then saves an image.
Input: a source image for targeted modification in ComfyUI.
Output: an edited image that can be saved through the SaveImage node.
Required files are listed with links, and the workflow is designed for standard Flux1.dev models.
The listed base model is Flux.1 D.
Listed model files are ae.safetensors, clip_l.safetensors, flux1-dev-fp8.safetensors, and t5xxl_fp8_e4m3fn.safetensors.
Named nodes include BasicGuider, BasicScheduler, CLIPTextEncode, DualCLIPLoader, FluxGuidance, ImpactGaussianBlurMask, InpaintModelConditioning, and KSamplerSelect.
Other named nodes include LoadAndResizeImage, Power Lora Loader (rgthree), RandomNoise, SamplerCustomAdvanced, SaveImage, UNETLoader, VAEDecode, and VAELoader.
Use the inpainting settings guide to adjust essential components and understand how each setting affects the output.
Suggestion · not verified
The workflow includes FluxGuidance, KSamplerSelect, RandomNoise, and Power Lora Loader (rgthree) nodes.
Before use, verify that your ComfyUI setup includes the listed model files and node types.
Suggestion · not verified
No license is specified for the workflow.
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Sources
1 sourceSource excerpts
1 excerptSource context: 461 downloads · Type Workflows · Base model Flux.1 D
This workflow is intuitive, accessible, and built for experimentation. Whether you're new or experienced, it offers a strong foundation for mastering inpainting in Flux, making it easy to explore and expand your creative potential.
Estimated VRAM requirement
Estimate unavailable
16.3 GB across 3 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
DualCLIPLoader
Not resolvedText encoder · Unknown
Checkpoint · 11.5 GB · SAFETENSORS · Unknown
Text encoder · 4.56 GB · SAFETENSOR · fp8 · 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
UNETLoader
Not resolvedNode pack · Unknown