https://youtu.be/CU1UKxjWBRo 
 
This workflow is the masked single-image editing version for Krea 2 Identity Edit v1.2. It is designed for creators who want to change a specific part of one image while keeping the rest of the frame as stable as possible. Instead of asking the model to reinterpret the entire picture, you mark the target region and let the workflow focus the edit there. That makes it useful for outfit replacement, local retouching, object changes, hair or accessory edits, background patching, and other cases where a normal image-to-image pass would drift too far. 
 
The inspected graph uses `krea2_turbo_fp8_scaled.safetensors` as the active UNET route, `qwen3vl_4b_fp8_scaled.safetensors` as the Krea2 CLIP/text encoder, and `qwen_image_HDR_vae_fp32_comfy.safetensors` as the VAE. The important LoRA is `krea2_identity_edit_v1_2_fp16.safetensors`, enabled at strength 1.0. The graph exposes a 1536 x 1536 latent canvas and a 10-step KSampler using CFG 1 with euler/simple sampling. The output path reaches both preview and save nodes, so the workflow can be used for quick checking and final export. 
 
The value of this setup is not raw upscaling; it is controlled localized editing. Use the mask to tell the model where the change should happen, then keep the prompt focused on the replacement or correction you need. Because Krea 2 Identity Edit v1.2 is loaded as the active edit LoRA, this workflow is especially useful when you want the subject identity and global composition to remain recognizable while still making a visible local change. 
 
Main features: 
 
- Krea 2 Turbo FP8 active UNET path 
- Krea 2 Identity Edit v1.2 LoRA enabled at strength 1.0 
- Qwen3VL 4B FP8 Krea2 text encoder route 
- Qwen Image HDR VAE decode path 
- Mask-focused single-image editing setup 
- 1536 x 1536 latent canvas 
- 10-step euler/simple KSampler 
- CFG 1 low-guidance edit style 
- Preview and SaveImage output paths 
- Best for localized retouching and inpainting-style edits 
 
Suggested workflow: 
 
Load one source image, paint a clean mask over only the region you want to change, and write a direct prompt for that region. Keep the prompt short at first, then add details only if the edit is too vague. If the model changes areas outside the mask, reduce prompt ambiguity and make the mask tighter. If the edit does not appear strongly enough, expand the mask slightly or make the replacement instruction more explicit. 
 
RunningHub Workflow 
 
Try the workflow online right now - no installation required. 
Workflow: https://www.runninghub.ai/post/2079889918284877826?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
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Bilibili Updates (Mainland China &amp; Asia-Pacific) 
 
If you are 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/BV1bJgy6eEei/ 
 
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打开下方链接即可在线体验，无需安装。 
工作流：https://www.runninghub.ai/post/2079889918284877826?inviteCode=rh-v1111 
 
如果觉得效果理想，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/BV1bJgy6eEei/ 
 
本期 Krea 2 相关模型资源： 
https://pan.quark.cn/s/07bdc81784ce?pwd=FpDf#/list/share 
 
这些资源主要面向本地用户，方便进行创作与学习。

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