Nodes you will probably want to adjust and use normally.
Runtime profile
Source description
About the workflow:
Nodes you will probably want to adjust and use normally.
Init Load the pictures to be used with Kontext.
Loader Select the diffusion model to be used, as well as load CLIP, VAE and select latent size for the generation.
Prompt Pretty straight forward: your prompt goes here.
Switches Basically the "configure" group. You can enable / disable model sampling, LoRAs, detailers, upscaling, automatic prompt tagging, clip vision UNClip conditioning and IPAdapter. I'm not sure how well those last two work, but you can play around with them.
Model settings Model sampling and loading LoRAs.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
This Flux.1 Kontext workflow uses loaded pictures and a text prompt to generate images, with optional detailers, IPAdapter, and upscaling.
Load pictures in Init, select the diffusion model, CLIP, VAE, and latent size in Loader, then enter a text prompt for generation.
It uses a first pass without upscaling, followed by an upscale stage set by default to 2x with 2x2 tiling.
Inputs include loaded pictures, a text prompt, model and sampler settings, a noise seed, scheduler, steps, and optional conditioning controls.
Outputs include a generated first-pass image and an upscaled generation; SaveImage is listed for saving images.
To use it, make the listed model files and node packs available, then select the diffusion model, CLIP, VAE, and latent size in Loader.
Suggestion · not verified
Listed node packs are comfy-image-saver, comfyui_ultimatesdupscale, ComfyUI-Crystools, comfyui-detail-daemon, comfyui-easy-use, ComfyUI-nunchaku, and comfyui-wd14-tagger.
Listed model files are 4x-UltraSharp.pth, ae.safetensors, clip_l.safetensors, clip_vision_h.safetensors, Dark_Ghibli.safetensors, flux1-kontext-dev.safetensors, kontext-turnaround-sheet-v1.safetensors, svdq-int4_r32-flux.1-kontext-dev.safetensors, and t5xxl_fp16.safetensors.
Switches can enable or disable model sampling, LoRAs, detailers, upscaling, automatic prompt tagging, CLIP Vision/unCLIP conditioning, and IPAdapter.
Sampler settings expose the noise seed, sampler, scheduler, and steps; the Conditioning group includes FluxGuidance.
Verify that all listed model files and node packs are available in your setup before using the workflow.
Suggestion · not verified
CLIP Vision and IPAdapter behavior has not yet been tested with Flux Kontext, so verify those options for your use before relying on them.
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Sources
1 sourceSource excerpts
1 excerptSource context: 4802 downloads · Type Workflows · Base model Flux.1 Kontext
Sampler settings Adjust noise seed, sampler, scheduler and steps here.
1st pass The generation process itself with no upscaling.
Upscale The upscaled generation. By default it makes a factor of 2 upscale, with 2x2 tiled upscaling.
Mess with these nodes if you like experimenting, testing things.
Conditioning Worthy to mention that FluxGuidance node is located here.
Detail sigma Detailer nodes, I can't easily explain what does what, but if you're interested, look the nodes' documentation up. I set them at a value that normally generates the best results for me.
Clip vision and IPAdapter Worthy to mention that I have yet to test how well ClipVision works and IPAdapter's strength when it comes to Flux Kontext.
Estimated VRAM requirement
Estimate unavailable
37.9 GB across 5 of 10 model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
16 requirementsUpscaler · 63.9 MB · PT · Unknown
VAE · Unknown
Text encoder · 235 MB · SAFETENSORS · Unknown
Vision model · Unknown
Upscaler · Registry · ComfyUI_UltimateSDUpscale
Dark_Ghibli.safetensors
PossibleLoRA · Unknown
Checkpoint · 22.2 GB · SAFETENSORS · fp16 · full · Unknown
kontext-turnaround-sheet-v1.safetensors
Not resolvedLoRA · Unknown
Checkpoint · 6.30 GB · SAFETENSOR · fp16 · Unknown
Text encoder · 9.12 GB · SAFETENSORS · Unknown
Node pack · Registry
Node pack · Registry
Node pack · Registry
Node pack · Registry
Node pack · Registry
Node pack · Registry