Upload 1939453/2256755/README.md with huggingface_hub

1939453/2256755/README.md

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-
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 license: other
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-- civitai
+- tool
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+
+# Consistence Edit Lora - v2.0 - 2256755
+
+**Model Type**: LORA
+
+**Base Model**: Qwen
+
+**Trigger Words**: None
+
+**Tags**: tool
+
+## Gallery
+
+<table>
+  <tr>
+    <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9518ac35-e7ef-4e93-9d21-fa1e7b76c30f/original=true/102690770.jpeg" width="200"></td>
+    <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b8920406-e4f3-4331-b8d1-c407b76e3aeb/original=true/102690768.jpeg" width="200"></td>
+  </tr>
+</table>
+
+## Description
+
+Klein 9B lcs consistency lora 20260415
+
+RunningHub:
+
+Lora:
+
+<https://www.runninghub.ai/model/public/2044762492517228546?inviteCode=rh-v1279>
+
+Online Workflow：
+
+<https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279>
+
+Klein 9B consist lcs preivew 20260328
+
+preview version of lcs training method.
+
+Further version is under development
+
+Klein 4B Consistency Lora
+
+This lora inspired by ByteDance [Heilos](https://github.com/PKU-YuanGroup/Helios) Easy Anti-Drifting method.
+
+I implemented Frame-Aware Corrupt (Reference Latent Corrupt) latent and Color Statistics Loss.
+
+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.
+
+Reference: low freq image, high freq image (0.8 dropout rate on high freq image)
+
+Target: clean image
+
+lr: 2e-4
+
+scheduler: cosine
+
+optimizer: adamw8bit
+
+steps: 6000
+
+Suggested Prompt:
+
+{edit prompt}. Transform the image to realistic photograph. add realistic details to the corrupted image. restore high frequence details from the corrupted image.
+
+Suggested Strength:
+
+0.5-0.7
+
+Trained on 4B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.
+
+More strength means more consistence but it would also hurt edit abilities.
+
+Different image might has different optimal lora strength.
+
+Running Hub
+
+Flux2 Klein 4B一致性lora对比 runninghub.ai/post/2032812180667633666/?inviteCode=rh-v1279
+
+Flux2 Klein 4B一致性lora 不偏色 不偏移 runninghub.ai/post/2032817113190113281/?inviteCode=rh-v1279
+
+Flux2 Klein 9B Consist Lora
+
+HuggingFace:
+
+<https://huggingface.co/lrzjason/Consistance_Edit_Lora>
+
+Klein 9B Consis Lora
+
+Suggested Prompt:
+
+restore image details
+
+Flux2 Klein 9B Consis Lora
+
+Trained on 9B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.
+
+Suggested strength: 0.2~1.5
+
+Use with any prompts.
+
+More strength means more consistence but it would also hurt edit abilities.
+
+Different image might has different optimal lora strength.
+
+RH:
+
+<https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279>
+
+======================QE2511================================
+
+RH:
+
+<https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279>
+
+Custom\_node:
+
+<https://github.com/lrzjason/Comfyui-QwenEditUtils>
+
+QE2511 Alpha is trained on QwenEdit 2511.
+
+As same as previous lora, this lora helps to maintain image consistence.
+
+The lora is trained using nf4 qlora.
+
+V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)
+
+It is recommanded to use with strength between 0.5 ~1.0 for multiple images
+
+0~0.5 for single image
+
+It needs to use with workflow v4.0 [https://civitai.com/models/1939540](https://civitai.com/models/1939540?modelVersionId=2256750)
+
+RH workflow:
+
+QwenEdit Consistence Edit workflow v4.0
+
+Experience link: <https://www.runninghub.ai/post/1965033238311915522>[/?inviteCode=rh-v1279](https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279)
+
+QwenEdit Consistence Edit workflow v2.0
+
+Solved pixels shift issue and keep qwenvl encode image ability.
+
+RH workflow:
+
+QwenEdit Consistence Edit workflow v2.0
+
+Experience link: <https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279>
+
+Trained with no ref image into qwenvl.
+
+This lora typical to test the consistency with kontext like workflow.
+
+It is suggested to use 0.45~0.5 lora stregth
+
+Workflow:
+
+<https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow>
+
+RH workflow:
+
+It's extremely fun and I highly recommend it to you!
+
+Workflow: QwenEdit Consistence Edit workflow
+
+Experience link: <https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279>
+
+---
+
 Author: [xiaozhijason](https://civitai.com/user/xiaozhijason)
 
-Model: [https://civitai.com/models/1939453?modelVersionId=2256755](https://civitai.com/models/1939453?modelVersionId=2256755)
+Model: [CivitAI Model Page](https://civitai.com/models/1939453?modelVersionId=2256755)
+
+Archive: [CivArchive Page](https://civarchive.com/models/1939453?modelVersionId=2256755)
 
-Mirror: [https://civarchive.com/models/1939453?modelVersionId=2256755](https://civarchive.com/models/1939453?modelVersionId=2256755)
+<!-- Version: 20260425_upload -->