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    Qwen Image 2.1 Turbo 8-Step vs 25-Step - v1.0
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    Qwen Image 2.1 Turbo 8-step vs original 25-step image quality showdown: 11 test sets in one graph. Proves the turbo LoRA 8-step schedule holds almost par with the original 25-step pipeline while generating far faster.

    Main features:
    - 11 test branches; each runs the Turbo 8-step pipeline (Turbo LoRA rank 178 + fixed 8-step ManualSigmas schedule, CFG 1, euler) against the original 25-step pipeline (KSamplerAdvanced 25 steps, CFG 3.5, euler) on the same prompt and seed
    - rgthree Image Comparer pairs every 8-step result with its 25-step counterpart for direct side-by-side judging
    - 11 pre-configured prompt / subject variations covering portraits, scenes and creative subjects
    - Final SaveImage (ComfyUI prefix) for the selected outputs

    Suggested workflow:
    1. Keep the 11 built-in test prompts for the comparison, or swap in your own
    2. Run the graph; both pipelines render per branch
    3. Judge in the comparer grid: 8-step results track the 25-step originals at a fraction of the time

    Dependencies:
    - Qwen-Image_2.1.safetensors (base UNET)
    - qwen3vl_8b_int8_convrot.safetensors (CLIP)
    - qwen_image_2.1_vae_bf16.safetensors (VAE)
    - qwen_image_2.1_turbo_lora_avg_rank_178_bf16.safetensors (Turbo LoRA)
    - rgthree Node Suite (Image Comparer)

    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2109550643710304258?inviteCode=rh-v1111
    Bilibili tutorial video: https://www.bilibili.com/video/BV14zp96REo9/
    RunningHub registration with invite code rh-v1111 (1000 RH coins): https://www.runninghub.ai/?inviteCode=rh-v1111

    Description



    Qwen Image 2.1 Turbo 8-step vs original 25-step image quality showdown: 11 test sets in one graph. Proves the turbo LoRA 8-step schedule holds almost par with the original 25-step pipeline while generating far faster.

    Main features:
    - 11 test branches; each runs the Turbo 8-step pipeline (Turbo LoRA rank 178 + fixed 8-step ManualSigmas schedule, CFG 1, euler) against the original 25-step pipeline (KSamplerAdvanced 25 steps, CFG 3.5, euler) on the same prompt and seed
    - rgthree Image Comparer pairs every 8-step result with its 25-step counterpart for direct side-by-side judging
    - 11 pre-configured prompt / subject variations covering portraits, scenes and creative subjects
    - Final SaveImage (ComfyUI prefix) for the selected outputs

    Suggested workflow:
    1. Keep the 11 built-in test prompts for the comparison, or swap in your own
    2. Run the graph; both pipelines render per branch
    3. Judge in the comparer grid: 8-step results track the 25-step originals at a fraction of the time

    Dependencies:
    - Qwen-Image_2.1.safetensors (base UNET)
    - qwen3vl_8b_int8_convrot.safetensors (CLIP)
    - qwen_image_2.1_vae_bf16.safetensors (VAE)
    - qwen_image_2.1_turbo_lora_avg_rank_178_bf16.safetensors (Turbo LoRA)
    - rgthree Node Suite (Image Comparer)

    RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2109550643710304258?inviteCode=rh-v1111
    Bilibili tutorial video: https://www.bilibili.com/video/BV14zp96REo9/
    RunningHub registration with invite code rh-v1111 (1000 RH coins): https://www.runninghub.ai/?inviteCode=rh-v1111

    FAQ

    Comments (1)

    yajukunOct 12, 2026
    CivitAI

    Hi, just curious. Qwen has just released their official V2.1 Turbo model. How do you think it compares to using the original model w/ the 178 turbo lora?

    Workflows
    Qwen

    Details

    Downloads
    123
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/12/2026
    Updated
    11/7/2026
    Deleted
    -

    Files

    04_qwen-image-2-1-turbo-8-step-vs-25-step.json