"Combined Workflow" v2 release (20251228)

This "Combined Workflow" (over 500KB and many nodes) does SDXL, Pony, Illustrious, Flux1D, Qwen and ZImageTurbo generations with an optional prompt extension using Ollama and Wildcards processing.

It will generate an upscaled 16MP image as the final result while staying as close as possible to the original generation and produce CivitAI compatible metadata for each stage of the image generation.

- Stage 1: Generate the regular image, pass it to a selector (can be bypassed for batch generation)

- Stage 2: Upscale to 4MP using HiResFix

- Stage 3: Use Ultimate SD Upscaler (No Upscale) to redefine the components of 4MP image using the original model and loras' specific characteristics. Faces and Eyes Detailer are then used on the resulting image.

- Stage 4: That result is sent to SeedVR2 to generate the final 16MP image and a color matching step is performed to make it as close as possible as the initial upscaled image.

The workflow contains a READ ME FIRST section that details some about how it came to be, what it does and how to use it. Please refer to it for more details.

FYSA: list of used custom nodes:

"cg-image-filter",
"comfy-core",
"comfy-image-saver",
"ComfyLiterals",
"ComfyMath",
"ComfyUI_ADV_CLIP_emb",
"ComfyUI_Comfyroll_CustomNodes",
"comfyui_ultimatesdupscale",
"comfyui-custom-scripts",
"comfyui-easy-use",
"comfyui-fbcnn",
"comfyui-image-saver",
"comfyui-impact-pack",
"comfyui-impact-subpack",
"comfyui-inspire-pack",
"comfyui-kjnodes",
"comfyui-logicutils",
"comfyui-lora-manager",
"comfyui-ollama",
"controlaltai-nodes",
"rgthree-comfy",
"seedvr2_videoupscaler",

v1 release (20251226)

Initial release, similar idea to v2

Work-in-Progress release:

This workflow(Pony, SDXL, Illustrious only for now) is a Work-In-Progress combination, testing and tweaking of various elements from other workflows to generate an upscaled 16MP image as the final result while staying as close as possible to the original generation as generate CivitAI metadata for each stage of the image generation.

- Stage 1: Generate the regular image, pass it to a selector (can be bypassed for batch generation)

- Stage 2: Upscale to 4MP using HiResFix

- Stage 3: Use Ultimate SD Upscaler (No Upscale) to redefine the components of 4MP image using the original model and loras' specific characteristics. Faces and Eyes Detailer are then used on the resulting image.

- Stage 4: That result is sent to SeedVR2 to generate the final 16MP image.

There are many nodes involved in this workflow. Because of that I made use of multiple subgraphs to keep the workflow organized and easy to navigate.

Groups exists as organizational structure for the entire process and follow the Stage numbers.

It "works for me" but it might not be the best way to do it. Feedback is welcome.

PS: Despite my best effort, I still do not know how to have the "Nodes" used show on each image's page on CivitAI -- if someone knows how to please let me know.

Older releases:

The workflows I use with my Wildcards (see my account for those).

Within the zip is a README.md that explains the various use cases:

• The SDXL, Illustrious and Pony compatible workflow is an extension of @DigitalPastel 's "Smooth Workflow" https://civitai.com/models/1598938/smooth-workflow-txt2img

• The txt2img Flux and Qwen workflow is an extension of @AlexLai 's "Atomix Workflow" https://civitai.com/models/878828/atomix-flux-txt2img-workflow

• The Z-Image Turbo workflow is an extension of @MrSmith2025 's "Z-Image Turbo - T2I Workflow + Detailer + SeedVR2 Upscaler + Color Grading" https://civitai.com/models/2174733/z-image-turbo-t2i-workflow-detailer-seedvr2-upscaler-color-grading

• Each workflow can work with Ollama (if available) to create a multi-line narrative. They use Ollama as part of the workflow, which might be a VRAM resource constraint (setting "keep alive" to 0 will unload the model immediately after the request finishes). The conversion model should be instruction-tuned.