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Implement Cosmos Image/Video to World (Video) diffusion models.
Use CosmosImageToVideoLatent to set the input image/video.
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@@ -824,9 +824,10 @@ class HunyuanVideo(supported_models_base.BASE):
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hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}llama.transformer.".format(pref))
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return supported_models_base.ClipTarget(comfy.text_encoders.hunyuan_video.HunyuanVideoTokenizer, comfy.text_encoders.hunyuan_video.hunyuan_video_clip(**hunyuan_detect))
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class Cosmos(supported_models_base.BASE):
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class CosmosT2V(supported_models_base.BASE):
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unet_config = {
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"image_model": "cosmos",
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"in_channels": 16,
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}
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sampling_settings = {
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@@ -854,7 +855,16 @@ class Cosmos(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.cosmos.CosmosT5Tokenizer, comfy.text_encoders.cosmos.te(**t5_detect))
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class CosmosI2V(CosmosT2V):
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unet_config = {
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"image_model": "cosmos",
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"in_channels": 17,
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}
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models = [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, HunyuanVideo, Cosmos]
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def get_model(self, state_dict, prefix="", device=None):
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out = model_base.CosmosVideo(self, image_to_video=True, device=device)
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return out
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models = [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, HunyuanVideo, CosmosT2V, CosmosI2V]
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models += [SVD_img2vid]
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