Upload LTX2Pipeline

.gitattributes

@@ -33,3 +33,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+audio_decoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+audio_encoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+embeddings_processor/model.flashpack filter=lfs diff=lfs merge=lfs -text
+spatial_upsampler/model.flashpack filter=lfs diff=lfs merge=lfs -text
+spatial_upsampler_1_5/model.flashpack filter=lfs diff=lfs merge=lfs -text
+text_encoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+transformer/model.flashpack filter=lfs diff=lfs merge=lfs -text
+video_decoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+video_encoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+vocoder/model.flashpack filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,198 @@
+---
+library_name: diffusers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🧨 diffusers pipeline that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

audio_decoder/config.json

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+{
+  "_class_name": "LTX2AudioDecoderModel",
+  "_diffusers_version": "0.37.0",
+  "attn_resolutions": [],
+  "causality_axis": "height",
+  "ch": 128,
+  "ch_mult": [
+    1,
+    2,
+    4
+  ],
+  "dropout": 0.0,
+  "is_causal": true,
+  "mel_bins": 64,
+  "mel_hop_length": 160,
+  "mid_block_add_attention": false,
+  "norm_type": "pixel",
+  "num_res_blocks": 2,
+  "out_ch": 2,
+  "resolution": 256,
+  "sample_rate": 16000,
+  "z_channels": 8
+}

audio_decoder/model.flashpack

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audio_encoder/config.json

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+{
+  "_class_name": "LTX2AudioEncoderModel",
+  "_diffusers_version": "0.37.0",
+  "attn_resolutions": [],
+  "attn_type": "vanilla",
+  "causality_axis": "height",
+  "ch": 128,
+  "ch_mult": [
+    1,
+    2,
+    4
+  ],
+  "double_z": true,
+  "dropout": 0.0,
+  "in_channels": 2,
+  "is_causal": true,
+  "mel_bins": 64,
+  "mel_hop_length": 160,
+  "mid_block_add_attention": false,
+  "n_fft": 1024,
+  "norm_type": "pixel",
+  "num_res_blocks": 2,
+  "resamp_with_conv": true,
+  "resolution": 256,
+  "sample_rate": 16000,
+  "z_channels": 8
+}

audio_encoder/model.flashpack

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audio_preprocessor/config.json

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+{
+  "_class_name": "AudioPreprocessor",
+  "_diffusers_version": "0.37.0",
+  "add_ambience": true,
+  "add_reverb": true,
+  "add_room": true,
+  "ambience_rms_db": -48.0,
+  "bitrate": "256k",
+  "codec": "mp3",
+  "container_format": null,
+  "do_comp": true,
+  "do_eq": false,
+  "do_limiter": true,
+  "do_roundtrip": true,
+  "final_peak_dbfs": -1.0,
+  "force_stereo": true,
+  "hpf_hz": 90.0,
+  "initial_peak_dbfs": -3.0,
+  "limit_dbfs": -1.0,
+  "lpf_hz": 10000.0,
+  "narrow_width": 0.35,
+  "output_format": "s16p",
+  "predelay_ms": 12.0,
+  "presence_gain_db": 2.0,
+  "return_float": true,
+  "reverb_wet": 0.04,
+  "room_bed_rms_db": -52.0,
+  "room_hp_hz": 40.0,
+  "room_lp_hz": 12000.0,
+  "room_noise_kind": "pink",
+  "rt60": 0.35,
+  "sr": 16000
+}

audio_preprocessor/diffusion_pytorch_model.safetensors

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embeddings_processor/config.json

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+{
+  "_class_name": "LTX2EmbeddingsProcessorModel",
+  "_diffusers_version": "0.37.0",
+  "audio_apply_gated_attention": false,
+  "audio_attention_head_dim": 64,
+  "audio_double_precision_rope": true,
+  "audio_num_attention_heads": 32,
+  "audio_num_layers": 8,
+  "audio_positional_embedding_max_pos": [
+    4096
+  ],
+  "audio_rope_type": "split",
+  "feature_extractor_audio_dim": 2048,
+  "feature_extractor_embedding_dim": 3840,
+  "feature_extractor_flat_dim": 188160,
+  "feature_extractor_video_dim": 4096,
+  "video_apply_gated_attention": false,
+  "video_attention_head_dim": 128,
+  "video_double_precision_rope": true,
+  "video_num_attention_heads": 32,
+  "video_num_layers": 8,
+  "video_positional_embedding_max_pos": [
+    4096
+  ],
+  "video_rope_type": "split"
+}

embeddings_processor/model.flashpack

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model_index.json

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+{
+  "_class_name": "LTX2Pipeline",
+  "_diffusers_version": "0.37.0",
+  "audio_decoder": [
+    "ltx2.models.audio_vae",
+    "LTX2AudioDecoderModel"
+  ],
+  "audio_encoder": [
+    "ltx2.models.audio_vae",
+    "LTX2AudioEncoderModel"
+  ],
+  "audio_preprocessor": [
+    "ltx2.models.audio_preprocessor",
+    "AudioPreprocessor"
+  ],
+  "embeddings_processor": [
+    "ltx2.models.embeddings_processor",
+    "LTX2EmbeddingsProcessorModel"
+  ],
+  "spatial_upsampler": [
+    "ltx2.models.upsampler",
+    "LTX2LatentUpsamplerModel"
+  ],
+  "spatial_upsampler_1_5": [
+    "ltx2.models.upsampler",
+    "LTX2LatentUpsamplerModel"
+  ],
+  "text_encoder": [
+    "ltx2.models.text_encoder",
+    "LTX2TextEncoderModel"
+  ],
+  "text_encoder_processor": [
+    "transformers",
+    "Gemma3Processor"
+  ],
+  "tokenizer": [
+    "transformers",
+    "GemmaTokenizer"
+  ],
+  "transformer": [
+    "ltx2.models.transformer",
+    "LTX2TransformerModel"
+  ],
+  "video_decoder": [
+    "ltx2.models.video_vae",
+    "LTX2VideoDecoderModel"
+  ],
+  "video_encoder": [
+    "ltx2.models.video_vae",
+    "LTX2VideoEncoderModel"
+  ],
+  "vocoder": [
+    "ltx2.models.vocoder",
+    "LTX2VocoderWithBWEModel"
+  ]
+}

spatial_upsampler/config.json

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+{
+  "_class_name": "LTX2LatentUpsamplerModel",
+  "_diffusers_version": "0.37.0",
+  "dims": 3,
+  "in_channels": 128,
+  "mid_channels": 1024,
+  "num_blocks_per_stage": 4,
+  "rational_resampler": false,
+  "spatial_scale": 2.0,
+  "spatial_upsample": true,
+  "temporal_upsample": false
+}

spatial_upsampler/model.flashpack

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spatial_upsampler_1_5/config.json

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+{
+  "_class_name": "LTX2LatentUpsamplerModel",
+  "_diffusers_version": "0.37.0",
+  "dims": 3,
+  "in_channels": 128,
+  "mid_channels": 1024,
+  "num_blocks_per_stage": 4,
+  "rational_resampler": true,
+  "spatial_scale": 1.5,
+  "spatial_upsample": true,
+  "temporal_upsample": false
+}

spatial_upsampler_1_5/model.flashpack

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text_encoder/config.json

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+{
+  "architectures": [
+    "Gemma3ForConditionalGeneration"
+  ],
+  "boi_token_index": 255999,
+  "dtype": "bfloat16",
+  "eoi_token_index": 256000,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "image_token_index": 262144,
+  "initializer_range": 0.02,
+  "mm_tokens_per_image": 256,
+  "model_type": "gemma3",
+  "text_config": {
+    "_sliding_window_pattern": 6,
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "cache_implementation": "hybrid",
+    "dtype": "float32",
+    "final_logit_softcapping": null,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 3840,
+    "initializer_range": 0.02,
+    "intermediate_size": 15360,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention"
+    ],
+    "max_position_embeddings": 131072,
+    "model_type": "gemma3_text",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 48,
+    "num_key_value_heads": 8,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_local_base_freq": 10000,
+    "rope_scaling": {
+      "factor": 8.0,
+      "rope_type": "linear"
+    },
+    "rope_theta": 1000000,
+    "sliding_window": 1024,
+    "sliding_window_pattern": 6,
+    "use_bidirectional_attention": false,
+    "use_cache": true,
+    "vocab_size": 262208
+  },
+  "transformers_version": "4.57.6",
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "dtype": "float32",
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "image_size": 896,
+    "intermediate_size": 4304,
+    "layer_norm_eps": 1e-06,
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 27,
+    "patch_size": 14,
+    "vision_use_head": false
+  }
+}

text_encoder/generation_config.json

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+{
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.57.6"
+}

text_encoder/model.flashpack

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text_encoder_processor/added_tokens.json

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+{
+  "<image_soft_token>": 262144
+}

text_encoder_processor/chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

text_encoder_processor/preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_pan_and_scan": null,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "Gemma3ImageProcessor",
+  "image_seq_length": 256,
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "pan_and_scan_max_num_crops": null,
+  "pan_and_scan_min_crop_size": null,
+  "pan_and_scan_min_ratio_to_activate": null,
+  "processor_class": "Gemma3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 896,
+    "width": 896
+  }
+}

text_encoder_processor/processor_config.json

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+{
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

text_encoder_processor/special_tokens_map.json

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+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

text_encoder_processor/tokenizer.model

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+size 4689074

tokenizer/added_tokens.json

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+{
+  "<image_soft_token>": 262144
+}

tokenizer/chat_template.jinja

@@ -0,0 +1,47 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

tokenizer/special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074

transformer/config.json

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+{
+  "_class_name": "LTX2TransformerModel",
+  "_diffusers_version": "0.37.0",
+  "apply_gated_attention": true,
+  "attention_head_dim": 128,
+  "attention_type": "default",
+  "audio_attention_head_dim": 64,
+  "audio_caption_projection": null,
+  "audio_cross_attention_dim": 2048,
+  "audio_in_channels": 128,
+  "audio_num_attention_heads": 32,
+  "audio_out_channels": 128,
+  "audio_positional_embedding_max_pos": [
+    20
+  ],
+  "av_ca_timestep_scale_multiplier": 1000.0,
+  "caption_projection": null,
+  "cross_attention_adaln": true,
+  "cross_attention_dim": 4096,
+  "double_precision_rope": true,
+  "in_channels": 128,
+  "model_type": "ltx av model",
+  "norm_eps": 1e-06,
+  "num_attention_heads": 32,
+  "num_layers": 48,
+  "out_channels": 128,
+  "positional_embedding_max_pos": [
+    20,
+    2048,
+    2048
+  ],
+  "positional_embedding_theta": 10000.0,
+  "rope_type": "split",
+  "timestep_scale_multiplier": 1000,
+  "use_middle_indices_grid": true
+}

transformer/model.flashpack

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video_decoder/config.json

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+{
+  "_class_name": "LTX2VideoDecoderModel",
+  "_diffusers_version": "0.37.0",
+  "base_channels": 128,
+  "causal": false,
+  "convolution_dimensions": 3,
+  "decoder_blocks": [
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_all",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_all",
+      {}
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_time",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_space",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      0
+    ]
+  ],
+  "decoder_spatial_padding_mode": "zeros",
+  "in_channels": 128,
+  "norm_layer": "pixel_norm",
+  "out_channels": 3,
+  "patch_size": 4,
+  "timestep_conditioning": false
+}

video_decoder/model.flashpack

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+version https://git-lfs.github.com/spec/v1
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+size 814347677

video_encoder/config.json

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+{
+  "_class_name": "LTX2VideoEncoderModel",
+  "_diffusers_version": "0.37.0",
+  "convolution_dimensions": 3,
+  "encoder_blocks": [
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_space_res",
+      {
+        "multiplier": 1
+      }
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_time_res",
+      {
+        "multiplier": 1
+      }
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_all_res",
+      {
+        "multiplier": 1
+      }
+    ],
+    [
+      "res_x",
+      0
+    ],
+    [
+      "compress_all_res",
+      {
+        "multiplier": 1
+      }
+    ],
+    [
+      "res_x",
+      0
+    ]
+  ],
+  "encoder_spatial_padding_mode": "zeros",
+  "in_channels": 3,
+  "latent_log_var": "uniform",
+  "norm_layer": "pixel_norm",
+  "out_channels": 128,
+  "patch_size": 4
+}

video_encoder/model.flashpack

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+size 637883617

vocoder/config.json

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+{
+  "_class_name": "LTX2VocoderWithBWEModel",
+  "_diffusers_version": "0.37.0",
+  "activation": "snakebeta",
+  "apply_final_activation": true,
+  "bwe_activation": "snakebeta",
+  "bwe_apply_final_activation": false,
+  "bwe_hop_length": 80,
+  "bwe_input_sampling_rate": 16000,
+  "bwe_n_fft": 512,
+  "bwe_num_mel_channels": 64,
+  "bwe_resblock": "AMP1",
+  "bwe_resblock_dilation_sizes": [
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ]
+  ],
+  "bwe_resblock_kernel_sizes": [
+    3,
+    7,
+    11
+  ],
+  "bwe_upsample_initial_channel": 512,
+  "bwe_upsample_kernel_sizes": [
+    12,
+    11,
+    4,
+    4,
+    4
+  ],
+  "bwe_upsample_rates": [
+    6,
+    5,
+    2,
+    2,
+    2
+  ],
+  "bwe_use_bias_at_final": false,
+  "bwe_use_tanh_at_final": false,
+  "output_sampling_rate": 48000,
+  "resblock": "AMP1",
+  "resblock_dilation_sizes": [
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ]
+  ],
+  "resblock_kernel_sizes": [
+    3,
+    7,
+    11
+  ],
+  "upsample_initial_channel": 1536,
+  "upsample_kernel_sizes": [
+    11,
+    4,
+    4,
+    4,
+    4,
+    4
+  ],
+  "upsample_rates": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "use_bias_at_final": false,
+  "use_tanh_at_final": false
+}

vocoder/model.flashpack

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