ZIT-Sampler Lab: 16-Image Likeness & Consistency Tester

Z-Image Turbo (ZIT) Step-Based Multi-Image Workflow

This ComfyUI workflow is a professional-grade generation pipeline specifically optimized for the Z-Image Turbo (ZIT) model. It is designed to maximize the efficiency of ZIT's architecture by allowing you to compare a vast range of sampling configurations in a single run.

Core Functionality

• Massive Sampler & Scheduler Comparison: The workflow generates up to 16 images in a single execution.

• Optimization Testing: Each image uses a unique combination of samplers (such as euler, dpmpp_2m, or er_sde) and schedulers (such as simple or beta) to help you find the "sweet spot" for photorealism and detail.

• Step-Based Generation: It splits the generation into distinct phases, enabling granular control over how a subject evolves across different sampling steps.

• Modular LoRA Integration: A dedicated "LORA - ZIT" group features a Power Lora Loader (rgthree), allowing you to stack and manage LoRAs easily while maintaining model integrity.

• Wireless Prompt Management: The system uses a centralized prompt system that concatenates a main descriptive prompt with global style/quality modifiers (e.g., "photorealism, 8k resolution") to ensure consistent aesthetic quality.

Optimized for Character LoRAs

This workflow is particularly powerful for creators working with specific character LoRAs where maintaining likeness is critical:

• Likeness Stress-Testing: By generating 16 variations simultaneously, you can immediately see which sampler/scheduler combinations preserve the character's unique facial features and which ones cause "likeness drift".

• Finding the Weight "Sweet Spot": Using the Power Lora Loader, you can quickly test how different sampling steps affect the weight of your character LoRA, ensuring the character looks correct without over-processing the image.

• Consistency Verification: It helps identify "stable" configurations that produce the same character face across different poses or environments, which is essential for consistent storytelling.
  
  
  Version Edits:
  V1.4 - Added a Seed control to allow you to set Fixed Or Random Seeds for all Samplers.