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Update LTXV categories
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fe11e782a2
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@ -86,7 +86,7 @@ class LTXVImgToVideo(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVImgToVideo",
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category="model/conditioning/video_models",
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category="model/conditioning/ltxv",
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inputs=[
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io.Conditioning.Input("positive"),
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io.Conditioning.Input("negative"),
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@ -131,7 +131,7 @@ class LTXVImgToVideoInplace(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVImgToVideoInplace",
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category="model/conditioning/video_models",
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category="model/conditioning/ltxv",
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inputs=[
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io.Vae.Input("vae"),
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io.Image.Input("image"),
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@ -251,7 +251,7 @@ class LTXVAddGuide(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVAddGuide",
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category="model/conditioning/video_models",
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category="model/conditioning/ltxv",
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inputs=[
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io.Conditioning.Input("positive"),
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io.Conditioning.Input("negative"),
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@ -498,7 +498,7 @@ class LTXVCropGuides(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVCropGuides",
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category="model/conditioning/video_models",
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category="model/conditioning/ltxv",
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inputs=[
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io.Conditioning.Input("positive"),
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io.Conditioning.Input("negative"),
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@ -542,7 +542,7 @@ class LTXVConditioning(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVConditioning",
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category="model/conditioning/video_models",
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category="model/conditioning/ltxv",
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inputs=[
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io.Conditioning.Input("positive"),
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io.Conditioning.Input("negative"),
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@ -746,7 +746,7 @@ class LTXVConcatAVLatent(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVConcatAVLatent",
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category="model/latent/video/ltxv",
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category="model/latent/ltxv",
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inputs=[
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io.Latent.Input("video_latent"),
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io.Latent.Input("audio_latent"),
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@ -781,7 +781,7 @@ class LTXVSeparateAVLatent(io.ComfyNode):
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def define_schema(cls):
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return io.Schema(
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node_id="LTXVSeparateAVLatent",
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category="model/latent/video/ltxv",
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category="model/latent/ltxv",
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description="LTXV Separate AV Latent",
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inputs=[
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io.Latent.Input("av_latent"),
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@ -814,7 +814,7 @@ class LTXVReferenceAudio(io.ComfyNode):
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return io.Schema(
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node_id="LTXVReferenceAudio",
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display_name="LTXV Reference Audio (ID-LoRA)",
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category="model/conditioning/audio",
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category="model/conditioning/ltxv",
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description="Set reference audio for ID-LoRA speaker identity transfer. Encodes a reference audio clip into the conditioning and optionally patches the model with identity guidance (extra forward pass without reference, amplifying the speaker identity effect).",
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inputs=[
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io.Model.Input("model"),
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@ -40,7 +40,7 @@ class LTXVAudioVAEEncode(VAEEncodeAudio):
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return io.Schema(
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node_id="LTXVAudioVAEEncode",
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display_name="LTXV Audio VAE Encode",
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category="model/latent/audio",
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category="model/latent/ltxv",
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inputs=[
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io.Audio.Input("audio", tooltip="The audio to be encoded."),
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io.Vae.Input(
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@ -63,7 +63,7 @@ class LTXVAudioVAEDecode(io.ComfyNode):
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return io.Schema(
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node_id="LTXVAudioVAEDecode",
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display_name="LTXV Audio VAE Decode",
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category="model/latent/audio",
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category="model/latent/ltxv",
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inputs=[
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io.Latent.Input("samples", tooltip="The latent to be decoded."),
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io.Vae.Input(
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@ -96,7 +96,7 @@ class LTXVEmptyLatentAudio(io.ComfyNode):
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return io.Schema(
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node_id="LTXVEmptyLatentAudio",
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display_name="LTXV Empty Latent Audio",
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category="model/latent/audio",
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category="model/latent/ltxv",
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inputs=[
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io.Int.Input(
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"frames_number",
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@ -13,7 +13,7 @@ class LTXVLatentUpsampler(IO.ComfyNode):
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def define_schema(cls):
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return IO.Schema(
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node_id="LTXVLatentUpsampler",
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category="model/latent/video",
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category="model/latent/ltxv",
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is_experimental=True,
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inputs=[
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IO.Latent.Input("samples"),
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