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@@ -234,3 +234,6 @@ klein-9b/lora/StyleSculpt,[[:space:]]Character[[:space:]]Creator/extra_data-vid_
 klein-9b/lora/Consistence[[:space:]]Edit[[:space:]]Lora/extra_data-vid_2722825/122348123.jpeg filter=lfs diff=lfs merge=lfs -text
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 klein-9b/lora/Consistence[[:space:]]Edit[[:space:]]Lora/extra_data-vid_2722825/122348174.jpeg filter=lfs diff=lfs merge=lfs -text
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klein-4b/lora/Consistence Edit Lora/extra_data-vid_2771678/model_dict-mid_1939453-vid_2771678.json

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+{
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+  "name": "Consistence Edit Lora",
+  "description": "<p>Klein 4B Consistency Lora</p><p>This lora inspired by ByteDance <a rel=\"ugc\" href=\"https://github.com/PKU-YuanGroup/Helios\">Heilos</a> Easy Anti-Drifting method.</p><p>I implemented Frame-Aware Corrupt (Reference Latent Corrupt) latent and Color Statistics Loss. </p><p>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.</p><p>Reference: low freq image, high freq image (0.8 dropout rate on high freq image)</p><p>Target: clean image</p><p>lr: 2e-4</p><p>scheduler: cosine</p><p>optimizer: adamw8bit</p><p>steps: 6000</p><p></p><p>Suggested Prompt:</p><p>{edit prompt}. Transform the image to realistic photograph. add realistic details to the corrupted image. restore high frequence details from the corrupted image.</p><p></p><p>Suggested Strength:</p><p>0.5-0.7</p><p>Trained on 4B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.</p><p></p><p>More strength means more consistence but it would also hurt edit abilities.</p><p>Different image might has different optimal lora strength.</p><p></p><p>Flux2 Klein 9B Consist Lora</p><p></p><p>HuggingFace:</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/lrzjason/Consistance_Edit_Lora\">https://huggingface.co/lrzjason/Consistance_Edit_Lora</a></p><p></p><p>Klein 9B Consis Lora</p><p>Suggested Prompt:</p><p>restore image details</p><p></p><p>Flux2 Klein 9B Consis Lora</p><p>Trained on 9B based. This lora aims to preserve image consistence across multiple input images. Control the lora via lora strength.</p><p>Suggested strength: 0.2~1.5</p><p>Use with any prompts.</p><p>More strength means more consistence but it would also hurt edit abilities.</p><p>Different image might has different optimal lora strength.</p><p></p><p>RH:</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279\">https://www.runninghub.ai/post/2016109710943981570/?inviteCode=rh-v1279</a></p><p></p><p>======================QE2511================================</p><p>RH:</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279\">https://www.runninghub.ai/model/public/2010085010870640641?inviteCode=rh-v1279</a></p><p></p><p>Custom_node:</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/lrzjason/Comfyui-QwenEditUtils\">https://github.com/lrzjason/Comfyui-QwenEditUtils</a></p><p></p><p>QE2511 Alpha is trained on QwenEdit 2511.</p><p>As same as previous lora, this lora helps to maintain image consistence.</p><p>The lora is trained using nf4 qlora.</p><p></p><p>V2 lora is trained for QwenEditPlus aka QwenImage Edit (2509)</p><p>It is recommanded to use with strength between 0.5 ~1.0 for multiple images</p><p>0~0.5 for single image</p><p></p><p>It needs to use with workflow v4.0 <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1939540?modelVersionId=2256750\">https://civitai.com/models/1939540</a></p><p>RH workflow:</p><p>QwenEdit Consistence Edit workflow v4.0</p><p>Experience link: <a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/post/1965033238311915522\">https://www.runninghub.ai/post/1965033238311915522</a><a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279\">/?inviteCode=rh-v1279</a></p><p></p><p>QwenEdit Consistence Edit workflow v2.0</p><p>Solved pixels shift issue and keep qwenvl encode image ability.</p><p>RH workflow:</p><p>QwenEdit Consistence Edit workflow v2.0</p><p>Experience link: <a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279\">https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279</a></p><p></p><p>Trained with no ref image into qwenvl.</p><p>This lora typical to test the consistency with kontext like workflow.</p><p></p><p>It is suggested to use 0.45~0.5 lora stregth</p><p></p><p>Workflow:</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow\">https://civitai.com/models/1939540/qwenedit-consistance-edit-workflow</a></p><p></p><p>RH workflow:</p><p>It's extremely fun and I highly recommend it to you!</p><p>Workflow: QwenEdit Consistence Edit workflow</p><p>Experience link: <a target=\"_blank\" rel=\"ugc\" href=\"https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279\">https://www.runninghub.ai/post/1965033238311915522/?inviteCode=rh-v1279</a></p>",
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