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    Velvet_Forge - Bf16
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    If you like the model, I will also make the FP8 version

    VelvetForge_ZIT is a hybrid model developed inside the Z‑Image Turbo pipeline, created through direct LoRA integration within a flow‑based architecture using QWEN 3.4B CLIP and BF16 precision. It is not an SDXL model, does not rely on diffusion sampling, and does not support traditional schedulers. VelvetForge_ZIT operates entirely through the AuraFlow system, using low‑step sampling with deterministic behavior.

    This model blends the structural consistency of Z‑Image Turbo with a velvet‑soft semi‑real aesthetic, characterized by:

    • smooth transitions

    • clean, non‑plastic skin

    • soft, controlled lighting

    • natural editorial look

    • absence of diffusion‑style micro‑noise

    • stable color response even at low CFG

    The fusion was calibrated to preserve the physics of the flow model, avoiding drift, artifacts, and instability commonly seen in static merges. VelvetForge_ZIT uses dynamic LoRA injection during inference, with adaptive strength handling and internal normalization, ensuring consistent results even with minimal prompting.

    Pipeline & Architecture

    • Base Model: Z‑Image Turbo (flow‑based)

    • CLIP: QWEN 3.4B

    • Precision: BF16

    • Sampling: AuraFlow (res_multisteps / simple)

    • Optimal Steps: 8–9

    • Optimal CFG: 0–1

    • Compatibility: Z‑Image Turbo pipeline only

    • Not compatible with: Euler, DPM++, Heun, UniPC, Karras, DDIM, or any SDXL‑based scheduler

    Model Identity

    VelvetForge_ZIT produces a semi‑real aesthetic — a balanced midpoint between realism and soft editorial rendering. It is not photographic and not illustrative: it is a hybrid look with smooth light, natural textures, and clean detail.

    Key characteristics:

    • velvet‑smooth skin

    • soft cinematic lighting

    • consistent results on male and female subjects

    • excellent handling of hair, clothing, and materials

    • clean, non‑noisy backgrounds

    • high coherence even with short prompts

    Recommended Usage

    • Sampler: res_multisteps (recommended), simple

    • Steps: 8–9

    • CFG: 0–1

    • Prompting: short, clean prompts without style stacking

    • Negative prompt: minimal or none

    • External LoRAs: not recommended (breaks flow‑based consistency)

    Intended Use

    VelvetForge_ZIT is ideal for:

    • semi‑real portraits

    • half‑body editorial shots

    • fashion soft‑light compositions

    • clean, natural, velvet‑toned aesthetics

    • professional Z‑Image Turbo workflows

    Description

    FAQ

    Checkpoint
    ZImageTurbo

    Details

    Downloads
    166
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/23/2026
    Updated
    6/16/2026
    Deleted
    -

    Files

    velvetForge_bf16.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.