https://youtu.be/CU1UKxjWBRo

This workflow is the standard single-image edit setup for Krea 2 Identity Edit v1.2. It is meant for cases where you want to load one image, describe a new visual direction, and let Krea 2 rebuild the picture while preserving the core subject and layout. Compared with a strict masked workflow, this version gives the model more room to reinterpret the whole frame. It is suitable for changing clothing, restaging a character, improving the mood, testing a new style, or turning an existing image into a more polished concept without starting from a blank prompt.

The active model chain uses `krea2_turbo_fp8_scaled.safetensors` as the UNET, `qwen3vl_4b_fp8_scaled.safetensors` as the Krea2 CLIP/text encoder, and `qwen_image_HDR_vae_fp32_comfy.safetensors` as the VAE. The workflow loads `krea2_identity_edit_v1_2_fp16.safetensors` at strength 1.0, which is the key edit LoRA in this setup. The inspected output path includes a 1024 x 1024 EmptySD3LatentImage route plus a ResolutionSelector set to a square profile. The active KSampler is a 10-step euler/simple pass with CFG 1 and denoise 1, so this version behaves more like a direct image editing/rebuild graph than a tiny local retouch.

Use this workflow when the edit can affect the whole image but the original subject should still be recognizable. It is especially useful for character portraits, fashion swaps, cinematic restaging, thumbnail variations, and quick visual direction tests. The bypass warning in the graph indicates that some reachable nodes are disabled, so the description only focuses on the active output chain and does not claim extra enhancement branches.

Main features:

- Single-image Krea 2 editing workflow
- 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
- Square 1024 x 1024 latent setup
- ResolutionSelector square profile
- 10-step euler/simple KSampler
- CFG 1 and denoise 1 edit pass
- Best for full-frame image edits and restaging

Suggested workflow:

Load a source image with a clear subject and write the edit as a complete instruction, such as changing the outfit, mood, scene, lighting, or pose direction. Start with a simple prompt and check whether the identity is preserved. If the result becomes too different, make the prompt more conservative and explicitly mention preserving the same person, face, pose, or composition. If the edit is too weak, add clearer target details instead of overloading the prompt.

RunningHub Workflow

Try the workflow online right now - no installation required.
Workflow: https://www.runninghub.ai/post/2079889925343891458?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 & 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/2079889925343891458?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。