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LoRA Trainer: LoRA training node in weight adapter scheme #8446
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Merged
comfyanonymous
merged 40 commits into
Comfy-Org:master
from
KohakuBlueleaf:weight-adapter-train
Jun 13, 2025
Merged
LoRA Trainer: LoRA training node in weight adapter scheme #8446
comfyanonymous
merged 40 commits into
Comfy-Org:master
from
KohakuBlueleaf:weight-adapter-train
Jun 13, 2025
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For more details: Comfy-Org/rfcs#26
Reorganized and cleaned up import statements, removing unused imports and adding specific module imports for better clarity and organization.
LoRA load/calculate_weight LoHa/LoKr/GLoRA load
For calculate weight I implement a fallback mechnism temporary for dev
* Allow disabling pe in flux code for some other models. * Initial Hunyuan3Dv2 implementation. Supports the multiview, mini, turbo models and VAEs. * Fix orientation of hunyuan 3d model. * A few fixes for the hunyuan3d models. * Update frontend to 1.13 (Comfy-Org#7331) * Add backend primitive nodes (Comfy-Org#7328) * Add backend primitive nodes * Add control after generate to int primitive * Nodes to convert images to YUV and back. Can be used to convert an image to black and white. * Update frontend to 1.14 (Comfy-Org#7343) * Native LotusD Implementation (Comfy-Org#7125) * draft pass at a native comfy implementation of Lotus-D depth and normal est * fix model_sampling kludges * fix ruff --------- Co-authored-by: comfyanonymous <[email protected]> * Automatically set the right sampling type for lotus. * support output normal and lineart once (Comfy-Org#7290) * [nit] Format error strings (Comfy-Org#7345) * ComfyUI version v0.3.27 * Fallback to pytorch attention if sage attention fails. * Add model merging node for WAN 2.1 * Add Hunyuan3D to readme. * Support more float8 types. * Add CFGZeroStar node. Works on all models that use a negative prompt but is meant for rectified flow models. * Support the WAN 2.1 fun control models. Use the new WanFunControlToVideo node. * Add WanFunInpaintToVideo node for the Wan fun inpaint models. * Update frontend to 1.14.6 (Comfy-Org#7416) Cherry-pick the fix: Comfy-Org/ComfyUI_frontend#3252 * Don't error if wan concat image has extra channels. * ltxv: fix preprocessing exception when compression is 0. (Comfy-Org#7431) * Remove useless code. * Fix latent composite node not working when source has alpha. * Fix alpha channel mismatch on destination in ImageCompositeMasked * Add option to store TE in bf16 (Comfy-Org#7461) * User missing (Comfy-Org#7439) * Ensuring a 401 error is returned when user data is not found in multi-user context. * Returning a 401 error when provided comfy-user does not exists on server side. * Fix comment. This function does not support quads. * MLU memory optimization (Comfy-Org#7470) Co-authored-by: huzhan <[email protected]> * Fix alpha image issue in more nodes. * Fix problem. * Disable partial offloading of audio VAE. * Add activations_shape info in UNet models (Comfy-Org#7482) * Add activations_shape info in UNet models * activations_shape should be a list * Support 512 siglip model. * Show a proper error to the user when a vision model file is invalid. * Support the wan fun reward loras. --------- Co-authored-by: comfyanonymous <[email protected]> Co-authored-by: Chenlei Hu <[email protected]> Co-authored-by: thot experiment <[email protected]> Co-authored-by: comfyanonymous <[email protected]> Co-authored-by: Terry Jia <[email protected]> Co-authored-by: Michael Kupchick <[email protected]> Co-authored-by: BVH <[email protected]> Co-authored-by: Laurent Erignoux <[email protected]> Co-authored-by: BiologicalExplosion <[email protected]> Co-authored-by: huzhan <[email protected]> Co-authored-by: Raphael Walker <[email protected]>
* LoRA/LoHa/LoKr/GLoRA working well * Removed TONS of code in lora.py
* use seperated dtype for trainable weight * force "training module only" before training * disable gradient after training * ensure same dtype after training
Contributor
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(Automated Bot Message) CI Tests are running, you can view the results at https://ci.comfy.org/?branch=8446%2Fmerge |
we apply grad ckpt in train node directly
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Well this certainly looks cool as heck |
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@KohakuBlueleaf can you please share the workflow show how to use this new merged feature? Thanks. |
adlerfaulkner
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Oct 16, 2025
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As title, in this PR I modify the #7032 to use the new weight adapter scheme in LoRA Training Node created by @yoland68
Since the old PR is far behind the master and I have to sync the fork to utilize weight adapter scheme so I open a new PR.
The things I did in this PR:
Next Step:
example:

