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README: XUPLX ZIMAGE MERGE + INPAINT + IMG2IMG + UPSCALE WORKFLOW
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Quellenbeschreibung
README: XUPLX ZIMAGE MERGE + INPAINT + IMG2IMG + UPSCALE WORKFLOW
Base UNet checkpoint: z_image_turbo_bf16.safetensors
CLIP: qwen_3_4b.safetensors with lumina2
VAE: ae.safetensors
Main latent canvas is 1024×1536 (SD3 latent node), so this workflow is set up to generate portrait-format images at that size by default.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use XUPLX_INPAINT_IMG2IMG-REFINEMENT_UPSCALE to create portrait images from MOOD and NATURAL LANGUAGE prompts, then inpaint a merged image, refine it with img2img, and upscale it to 2048×3072. Inputs include the prompts, a merged image, and an inpaint prompt; the output is an up4
The MOOD prompt runs early and NATURAL LANGUAGE later; ModelSamplingAuraFlow adjusts their blend in the continuing latent branch.
After generation, load the merged image for inpainting. Img2img refines it, and SeedVR2 upscales the img2img output.
Enter text in the MOOD and NATURAL LANGUAGE prompt inputs. For inpainting, load the merged image and add a prompt describing the change.
The generation canvas defaults to portrait 1024×1536; SeedVR2 is configured for 2048×3072 output in lab color mode.
Required node packs include ComfyUI_Comfyroll_CustomNodes, comfyui_layerstyle, comfyui-crystools, comfyui-easy-use, and comfyui-rvtools_v2.
Also required are rgthree-comfy, comfyui-mixlab-nodes, pr-was-node-suite-comfyui-47064894, and seedvr2_videoupscaler.
Named model files are ae.safetensors, ema_vae_fp16.safetensors, qwen_3_4b.safetensors, seedvr2_ema_7b-Q5_K_M.gguf, and z_image_turbo_bf16.safetensors.
The defaults use shared seed 01234567890 and 20 global steps: stage one runs from 0–5 and stage two from 5–20.
ModelSamplingAuraFlow is set to 5. The optional XUPLX_UglyPeopleLoRA.safetensors is on by default at strength 0.4 / 0.4 in the MOOD stage; the inpaint branch uses the base model path.
Img2img denoise defaults to 0.45 and may vary between images.
For upscaling, the workflow suggests GGUF models. If VRAM purge fails, an out-of-memory error may occur; try the upscale again.
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 978 downloads · Type Workflows · Base model ZImageTurbo
Workflow generates MOOD early, then NATURAL LANGUAGE late, and you can tune the “blend” between them.
Mechanically, that’s implemented as:
A single fixed seed shared across the samplers (seed = 01234567890).
A single global STEPS integer (set to 20) feeding multiple samplers.
A shared END_AT/START_AT integer (set to 5), so stage 1 runs 0→5 steps and stage 2 runs 5→20 steps.
The “blend knob” is ModelSamplingAuraFlow set to 5 in the branch that continues the latent (the README refers to this as “somewhere-in-the-middle” tuning).
MOOD and NATURAL LANGUAGE prompts are centralized as Mixlab TextInput_ nodes (“MOOD” and “NATURAL LANGUAGE”), which drive the CLIPTextEncode nodes via links.
Load an optional LoRA (XUPLX_UglyPeopleLoRA.safetensors); strength is set to 0.4 / 0.4, switch On by default.
The LoRA-modified model is used in the “MOOD” portion of the workflow, while other parts (notably the inpaint branch) are using the base model path. The XUPLX LoRA is optional and trained on real photographs.
Download XUPLX_UglyPeopleLora Here:
After generation, you do a classic inpaint pass:
Load your merged image (simply copy and paste into "Load Image" node).
Inpaint prompt example in the workflow: “The woman is wearing a black colored backpack.”
Img2Img is meant to synthesize the lighting, ambiance, and subject from the merged image with the inpainted material. Denoise is set to 0.45 by default, but varies from one image to another.
It’s configured to output 2048×3072 and "lab" color mode by default.
The VAE for SeedVR2 is set to ema_vae_fp16.safetensors. It is strongly suggested to use GGUF models for upscaling. You may see an OOM error if VRAM purge fails. Simply run the upscale again.
This workflow expects several custom packs/plugins to be installed, including
Mixlab nodes (TextInput_)
Comfyroll (CR Load LoRA)
RvTools v2 (Integer nodes for STEPS and END_AT/START_AT)
rgthree (Image Comparer)
WAS Node Suite (Seed node)
SeedVR2 upscaler pack
The workflow comes with a README , or you can check out the article I wrote :
How to Merge Image Styles Quickly with XUPLX and ZImage Turbo
You can download a simplified version of my workflow here:
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Remaining hardware or download-size estimates are not available yet.
Anforderungen
ae.safetensors
GefundenVAE · 320 MB · SAFETENSORS · Unknown
VAE · 478 MB · SAFETENSORS · fp16 · Unknown
Text encoder · 7.49 GB · SAFETENSORS · Unknown
seedvr2_ema_7b-Q5_K_M.gguf
Nicht aufgelöstCheckpoint · Unknown
seedvr2_videoupscaler
Nicht aufgelöstUpscaler · Registry
z_image_turbo_bf16.safetensors
GefundenCheckpoint · 11.5 GB · SAFETENSORS · bf16 · Unknown
ComfyUI_Comfyroll_CustomNodes
GefundenKnotenpaket · Registry
comfyui_layerstyle
GefundenKnotenpaket · Registry
comfyui-crystools
GefundenKnotenpaket · Registry
comfyui-easy-use
GefundenKnotenpaket · Registry
comfyui-mixlab-nodes
MöglichKnotenpaket · Registry
Knotenpaket · Registry
pr-was-node-suite-comfyui-47064894
Nicht aufgelöstKnotenpaket · Registry
rgthree-comfy
GefundenKnotenpaket · Registry
