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  license: other
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  tags:
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  - civitai
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Author: [xiaozhijason](https://civitai.com/user/xiaozhijason)
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- Model: [https://civitai.com/models/1939453?modelVersionId=2634354](https://civitai.com/models/1939453?modelVersionId=2634354)
 
 
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- Mirror: [https://civarchive.com/models/1939453?modelVersionId=2634354](https://civarchive.com/models/1939453?modelVersionId=2634354)
 
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  license: other
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  tags:
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  - civitai
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+ - tool
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  ---
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+
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+ # Consistence Edit Lora - 2634354
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+
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+ **Model Type**: LORA
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+
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+ **Base Model**: Flux.2 Klein 9B-base
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+
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+ **Trigger Words**: None
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+
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+ **Tags**: tool
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+
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+ ## Description
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+
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+ Klein 9B lcs consistency lora 20260415
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+
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+ RunningHub:
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+
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+ Lora:
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+
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+ <https://www.runninghub.ai/model/public/2044762492517228546?inviteCode=rh-v1279>
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+
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+ Online Workflow:
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+ <https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279>
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+
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+ Klein 9B consist lcs preivew 20260328
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+ preview version of lcs training method.
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+ Further version is under development
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+ Klein 4B Consistency Lora
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+ This lora inspired by ByteDance [Heilos](https://github.com/PKU-YuanGroup/Helios) Easy Anti-Drifting method.
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+ I implemented Frame-Aware Corrupt (Reference Latent Corrupt) latent and Color Statistics Loss.
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+ In additionally, I use frequence split dataset which created by converting an image into frequence domain and split it into high freq image and low freq image.
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+ Reference: low freq image, high freq image (0.8 dropout rate on high freq image)
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+ Target: clean image
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+ lr: 2e-4
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+ scheduler: cosine
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+ optimizer: adamw8bit
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+ steps: 6000
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+ Suggested Prompt:
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+ {edit prompt}. Transform the image to realistic photograph. add realistic details to the corrupted image. restore high frequence details from the corrupted image.
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+ Suggested Strength:
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+ 0.5-0.7
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+ Trained on 4B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.
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+ More strength means more consistence but it would also hurt edit abilities.
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+ Different image might has different optimal lora strength.
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+ Running Hub
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+ Flux2 Klein 4B一致性lora对比 runninghub.ai/post/2032812180667633666/?inviteCode=rh-v1279
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+ Flux2 Klein 4B一致性lora 不偏色 不偏移 runninghub.ai/post/2032817113190113281/?inviteCode=rh-v1279
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+ Flux2 Klein 9B Consist Lora
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+ HuggingFace:
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+ <https://huggingface.co/lrzjason/Consistance_Edit_Lora>
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+ Klein 9B Consis Lora
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+ Suggested Prompt:
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+ restore image details
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+ Flux2 Klein 9B Consis Lora
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+ Trained on 9B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.
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+ Suggested strength: 0.2~1.5
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+ Use with any prompts.
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+ More strength means more consistence but it would also hurt edit abilities.
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+ Different image might has different optimal lora strength.
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+ RH:
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+ <https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279>
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+ ======================QE2511================================
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+ RH:
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+ <https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279>
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+ Custom\_node:
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+ <https://github.com/lrzjason/Comfyui-QwenEditUtils>
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+ QE2511 Alpha is trained on QwenEdit 2511.
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+ As same as previous lora, this lora helps to maintain image consistence.
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+ The lora is trained using nf4 qlora.
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+ V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)
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+ It is recommanded to use with strength between 0.5 ~1.0 for multiple images
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+ 0~0.5 for single image
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+ It needs to use with workflow v4.0 [https://civitai.com/models/1939540](https://civitai.com/models/1939540?modelVersionId=2256750)
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+ RH workflow:
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+ QwenEdit Consistence Edit workflow v4.0
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+ Experience link: <https://www.runninghub.ai/post/1965033238311915522>[/?inviteCode=rh-v1279](https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279)
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+ QwenEdit Consistence Edit workflow v2.0
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+ Solved pixels shift issue and keep qwenvl encode image ability.
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+ RH workflow:
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+ QwenEdit Consistence Edit workflow v2.0
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+ Experience link: <https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279>
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+ Trained with no ref image into qwenvl.
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+ This lora typical to test the consistency with kontext like workflow.
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+ It is suggested to use 0.45~0.5 lora stregth
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+ Workflow:
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+ <https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow>
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+ RH workflow:
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+ It's extremely fun and I highly recommend it to you!
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+ Workflow: QwenEdit Consistence Edit workflow
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+ Experience link: <https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279>
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+
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+ ---
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  Author: [xiaozhijason](https://civitai.com/user/xiaozhijason)
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+ Model: [CivitAI Model Page](https://civitai.com/models/1939453?modelVersionId=2634354)
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+ Archive: [CivArchive Page](https://civarchive.com/models/1939453?modelVersionId=2634354)
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+ <!-- Version: 20260422_v4_update -->