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This workflow is a side-by-side benchmark setup: it generates the same prompt at the same resolution through four parallel branches so you can judge differences quickly. The top branches are Qwen-Image-2512 with two...
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Source description
This workflow is a side-by-side benchmark setup: it generates the same prompt at the same resolution through four parallel branches so you can judge differences quickly. The top branches are Qwen-Image-2512 with two different acceleration LoRAs (one explicitly labeled “Lightx2v 4steps LoRA” ), while the other branches run Z-Image and Flux.2 as baselines for realism, prompt adherence, and overall “finish.”
In practice, you load the models/accelerators once, write the prompt once, set the image size once, and then run a single generation to get four comparable outputs. The workflow also adds clear labels/captions and saves each result with its own name (for example Qwen-Image-2512 and Flux2 ) so you can archive batches and review them later without confusion.
🎥 YouTube Video Tutorial
Want to know what this workflow actually does and how to start fast?
Sources
1 sourceSource excerpts
1 excerptSource context: 142 downloads · Type Workflows · Base model Flux.2 D
This video explains what the tool is, how to launch the workflow instantly, and shares my core design logic — no local setup, no complicated environment.
Everything starts directly on RunningHub, so you can experience it in action first.
👉 YouTube Tutorial: https://youtu.be/CTIWLigZL1E
Before you begin, I recommend watching the video thoroughly — getting the full context helps you understand the tool faster and avoid common detours.
⚙️ RunningHub Workflow
Try the workflow online right now — no installation required.
If the results meet your expectations, you can later deploy it locally for customization.
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📺 Bilibili Updates (Mainland China & Asia-Pacific)
If you’re in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown.
📺 Bilibili Video: https://www.bilibili.com/video/BV1s5iqBNE6F/
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If you find my content helpful and want to support future creations, you can buy me a coffee ☕.
Every bit of support helps me keep creating — just like a spark that can ignite a blazing flame.
👉 Ko-fi: https://ko-fi.com/aiksk
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For collaboration or inquiries, please contact aiksk95 on WeChat.
🎥 YouTube 视频教程
想了解这个工作流到底是怎样的工具,以及如何快速启动?
视频主要介绍 工具定位、快速启动方法 和 我的构筑思路。
我们会直接在 RunningHub 上进行演示,让你第一时间看到实际效果。
👉 YouTube 教程: https://youtu.be/CTIWLigZL1E
开始前建议尽量完整地观看视频 —— 把握整体思路会更快上手,也能少走常见弯路。
⚙️ 在线体验工作流
现在就可以在线体验,无需安装。
打开上方链接即可直接运行该工作流,实时查看生成效果。
如果觉得效果理想,你也可以在本地进行自定义部署。
🎁 粉丝福利: 注册即送 1000 积分,每日登录 100 积分,畅玩 4090 体验 48 G 超级性能!
📺 Bilibili 更新(中国大陆及南亚太地区)
如果你在中国大陆或南亚太地区,可以通过下方视频查看该工作流的实测效果与构思讲解。
我会在 夸克网盘 持续更新模型资源: 👉 https://pan.quark.cn/s/20c6f6f8d87b 这些资源主要面向本地用户,方便进行创作与学习。
Remaining hardware or download-size estimates are not available yet.
Requirements
ae.safetensors
PossibleVAE · Unknown
flux2_berthe_morisot.safetensors
File unverifiedLoRA · Hugging Face · ostris/flux2_berthe_morisot
Checkpoint · Hugging Face · Comfy-Org/flux2-dev
VAE · Hugging Face · Comfy-Org/flux2-dev
mistral_3_small_flux2_bf16.safetensors
Not resolvedText encoder · Hugging Face · Comfy-Org/flux2-dev
Text encoder · 8.74 GB · Hugging Face · Comfy-Org/Qwen-Image_ComfyUI
Text encoder · 7.49 GB · SAFETENSORS · Unknown
qwen_image_2512_fp8_e4m3fn.safetensors
Not resolvedCheckpoint · Hugging Face · Comfy-Org/Qwen-Image_ComfyUI
VAE · Hugging Face · Comfy-Org/Qwen-Image_ComfyUI
Qwen-Image-Lightning-4steps-V1.0.safetensors
File unverifiedLoRA · Hugging Face · lightx2v/Qwen-Image-Lightning · Qwen Image Lightning
Checkpoint · 11.5 GB · Hugging Face · MonsterMMORPG/Wan_GGUF
