Updated: May 12, 2026
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This workflow is designed for comparing JoyAI-Image single-image editing with Qwen Image Edit 2511. Its main purpose is to help creators test how different image-editing routes handle the same or similar visual editing task, especially when the goal is not only to change an image, but also to preserve identity, structure, lighting, texture, and final visual quality.
The workflow contains a JoyAI-Image editing branch and a Qwen Image Edit 2511 comparison branch. The JoyAI branch uses JoyAI-Image-Und-merger_bf16 as the visual understanding / CLIP route, joy_image_transformer as the main image transformer, Wan2.1_VAE.pth as the VAE, JoyAI_Image_ENCODER for image-and-prompt conditioning, JoyAI_Image_LATENTS for latent preparation, JoyAI_Image_SM_KSampler for sampling, and JoyAI_Vae_Decoder for final decoding. This route is focused on direct single-image instruction editing: upload one image, write the edit command, and let the model transform the image while keeping the important visual identity.
The Qwen 2511 branch uses qwen_image_edit_2511_bf16 with Qwen Image Edit 2511 Lightning 4-step LoRA, qwen_2.5_vl_7b_fp8_scaled as the visual-language encoder, qwen_image_vae, TextEncodeQwenImageEditPlus, reference-latent method nodes, KSampler, and tiled VAE decoding. This branch is useful for comparing how Qwen 2511 handles detail, lighting, identity retention, reference-image understanding, and speed under a lightweight accelerated setup.
The workflow is especially useful for creators who want to answer practical editing questions: Which route keeps the original character identity better? Which one follows text instructions more directly? Which one changes the background more naturally? Which one produces better lighting and shadow integration? Which one is faster for batch testing? Which one is better for Civitai preview images, RunningHub demos, social media covers, or local production?
The JoyAI example focuses on a blue-haired cyber mechanical girl being transferred into a bright grassland scene while preserving her facial features, twin-tail hairstyle, mechanical ear devices, neck structure, and metallic body. The prompt also asks for realistic outdoor lighting, grassland atmosphere, natural shadows, metal highlights, and reduced cutout feeling. This makes it a strong test for identity preservation and scene replacement.
The Qwen 2511 side includes a portrait-style light-and-shadow enhancement direction, asking for clearer facial texture, richer lighting, realistic skin detail, studio-style portrait quality, and stronger subject separation. This makes it suitable for testing whether Qwen 2511 performs better at photographic refinement, lighting enhancement, and controlled image polishing.
This workflow is ideal for creators who want to compare JoyAI-Image and Qwen Image Edit 2511 in one editing experiment. If you want to see how the two editing routes behave under real workflow conditions, watch the full tutorial from the YouTube link above.
⚙️ Try the Workflow Online
👉 Workflow: https://www.runninghub.ai/post/2043308481817616386?inviteCode=rh-v1111
Open the link above to run the workflow directly online and view the generation results in real time.
If the results meet your expectations, you can also deploy it locally for further customization.
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📺 Bilibili Updates (Mainland China & Asia-Pacific)
If you are in Mainland China or the Asia-Pacific region, you can watch the video below for workflow demos and a detailed creative breakdown.
📺 Bilibili Video: https://www.bilibili.com/video/BV1MEQbBsE5z/
I will continue updating model resources on Quark Drive:
👉 https://pan.quark.cn/s/20c6f6f8d87b
These resources are mainly prepared for local users, making creation and learning more convenient.
⚙️ 在线体验工作流
👉 工作流： https://www.runninghub.ai/post/2043308481817616386?inviteCode=rh-v1111
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。
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📺 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。
📺 B站视频： https://www.bilibili.com/video/BV1MEQbBsE5z/
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。