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Update supported_models.py
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@ -969,12 +969,24 @@ class WAN21_I2V(WAN21_T2V):
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unet_config = {
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"image_model": "wan2.1",
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"model_type": "i2v",
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"in_dim": 36,
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}
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def get_model(self, state_dict, prefix="", device=None):
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out = model_base.WAN21(self, image_to_video=True, device=device)
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return out
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class WAN21_FunControl2V(WAN21_T2V):
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unet_config = {
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"image_model": "wan2.1",
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"model_type": "i2v",
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"in_dim": 48,
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}
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def get_model(self, state_dict, prefix="", device=None):
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out = model_base.WAN21(self, image_to_video=False, device=device)
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return out
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class Hunyuan3Dv2(supported_models_base.BASE):
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unet_config = {
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"image_model": "hunyuan3d2",
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@ -1041,6 +1053,6 @@ class Chroma(supported_models_base.BASE):
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t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref))
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return supported_models_base.ClipTarget(comfy.text_encoders.chroma.ChromaTokenizer, comfy.text_encoders.chroma.chroma_te(**t5_detect))
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models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, Lumina2, WAN21_T2V, WAN21_I2V, Hunyuan3Dv2mini, Hunyuan3Dv2, Chroma]
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models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, Lumina2, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, Hunyuan3Dv2mini, Hunyuan3Dv2, Chroma]
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models += [SVD_img2vid]
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