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"""
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Z-Image-Turbo ComfyUI Nodes - Optimized & Verified
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===================================================
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Based on official Tongyi-MAI/Z-Image repository and HuggingFace diffusers implementation.
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CRITICAL FACTS about Z-Image-Turbo:
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1. Distilled using Decoupled-DMD on LINEAR sigma schedule (1.0 → 0.0)
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2. Optimal: 8-9 steps, CFG=1.0, Euler sampler
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3. Any deviation from linear schedule BREAKS the distillation
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4. The model expects sigma values as-is - no "recalibration" needed
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WHY CUSTOM SAMPLERS?
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ComfyUI's built-in euler uses the Karras ODE formulation with s_churn machinery.
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Our samplers use the clean interpolation formula which is:
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- More numerically stable (no division by small sigma)
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- Cleaner (no s_churn/s_tmin/s_tmax)
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- Explicit handling of final step (sigma_next = 0)
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Available samplers (in KSampler dropdown):
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- euler_flow: Clean 1st order Euler
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- euler_flow_alt: Derivative formulation
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- euler_flow_verbose: With debug output
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- midpoint_flow: 2nd order midpoint
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- heun_flow: 2nd order Heun
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Author: Capitan01R
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Version: 1.0.0
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"""
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from .zimage_turbo_core import (
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NODE_CLASS_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS,
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)
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__all__ = [
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"NODE_CLASS_MAPPINGS",
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"NODE_DISPLAY_NAME_MAPPINGS",
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]
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__version__ = "1.0.0"
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__author__ = "Capitan01R"
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