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https://github.com/ostris/ai-toolkit.git
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* WIP, adding support for LTX2 * Training on images working * Fix loading comfy models * Handle converting and deconverting lora so it matches original format * Reworked ui to habdle ltx and propert dataset default overwriting. * Update the way lokr saves to it is more compatable with comfy * Audio loading and synchronization/resampling is working * Add audio to training. Does it work? Maybe, still testing. * Fixed fps default issue for sound * Have ui set fps for accurate audio mapping on ltx * Added audio procession options to the ui for ltx * Clean up requirements
31 lines
826 B
Python
31 lines
826 B
Python
from .chroma import ChromaModel, ChromaRadianceModel
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from .hidream import HidreamModel, HidreamE1Model
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from .f_light import FLiteModel
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from .omnigen2 import OmniGen2Model
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from .flux_kontext import FluxKontextModel
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from .wan22 import Wan225bModel, Wan2214bModel, Wan2214bI2VModel
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from .qwen_image import QwenImageModel, QwenImageEditModel, QwenImageEditPlusModel
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from .flux2 import Flux2Model
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from .z_image import ZImageModel
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from .ltx2 import LTX2Model
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AI_TOOLKIT_MODELS = [
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# put a list of models here
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ChromaModel,
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ChromaRadianceModel,
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HidreamModel,
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HidreamE1Model,
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FLiteModel,
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OmniGen2Model,
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FluxKontextModel,
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Wan225bModel,
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Wan2214bI2VModel,
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Wan2214bModel,
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QwenImageModel,
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QwenImageEditModel,
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QwenImageEditPlusModel,
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Flux2Model,
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ZImageModel,
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LTX2Model,
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]
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