Upload LTXVideo2Pipeline

.gitattributes

@@ -33,3 +33,12 @@ 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
+spatial_upsampler/model.flashpack filter=lfs diff=lfs merge=lfs -text
+text_encoder/model.flashpack filter=lfs diff=lfs merge=lfs -text
+tokenizer/tokenizer.json 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": "Decoder",
+  "_diffusers_version": "0.36.0",
+  "attn_resolutions": [],
+  "attn_type": "vanilla",
+  "causality_axis": "height",
+  "ch": 128,
+  "ch_mult": [
+    1,
+    2,
+    4
+  ],
+  "dropout": 0.0,
+  "give_pre_end": false,
+  "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,
+  "resamp_with_conv": true,
+  "resolution": 256,
+  "sample_rate": 16000,
+  "tanh_out": false,
+  "temb_ch": 0,
+  "z_channels": 8
+}

audio_decoder/model.flashpack

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audio_encoder/config.json

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+{
+  "_class_name": "Encoder",
+  "_diffusers_version": "0.36.0",
+  "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,
+  "temb_ch": 0,
+  "z_channels": 8
+}

audio_encoder/model.flashpack

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model_index.json

@@ -0,0 +1,40 @@
+{
+  "_class_name": "LTXVideo2Pipeline",
+  "_diffusers_version": "0.36.0",
+  "audio_decoder": [
+    "ltx2.model.audio_vae.audio_vae",
+    "Decoder"
+  ],
+  "audio_encoder": [
+    "ltx2.model.audio_vae.audio_vae",
+    "Encoder"
+  ],
+  "spatial_upsampler": [
+    "ltx2.model.upsampler.model",
+    "LatentUpsampler"
+  ],
+  "text_encoder": [
+    "ltx2.model.text_encoder.gemma.model",
+    "LTXTextEncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "GemmaTokenizerFast"
+  ],
+  "transformer": [
+    "ltx2.model.transformer.model",
+    "LTXModel"
+  ],
+  "video_decoder": [
+    "ltx2.model.video_vae.video_vae",
+    "Decoder"
+  ],
+  "video_encoder": [
+    "ltx2.model.video_vae.video_vae",
+    "Encoder"
+  ],
+  "vocoder": [
+    "ltx2.model.audio_vae.vocoder",
+    "Vocoder"
+  ]
+}

spatial_upsampler/config.json

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+{
+  "_class_name": "LatentUpsampler",
+  "_diffusers_version": "0.36.0",
+  "dims": 3,
+  "in_channels": 128,
+  "mid_channels": 1024,
+  "num_blocks_per_stage": 4,
+  "rational_resampler": true,
+  "spatial_scale": 2.0,
+  "spatial_upsample": true,
+  "temporal_upsample": false
+}

spatial_upsampler/model.flashpack

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text_encoder/config.json

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+{
+  "architectures": [
+    "Gemma3ForConditionalGeneration"
+  ],
+  "boi_token_index": 255999,
+  "double_precision_rope": true,
+  "dtype": "bfloat16",
+  "eoi_token_index": 256000,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "image_token_index": 262144,
+  "initializer_range": 0.02,
+  "max_length": 1024,
+  "mm_tokens_per_image": 256,
+  "model_type": "gemma3",
+  "positional_embedding_max_pos": [
+    4096
+  ],
+  "rope_type": "split",
+  "text_config": {
+    "_sliding_window_pattern": 6,
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "cache_implementation": "hybrid",
+    "dtype": "bfloat16",
+    "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": "4.57.3",
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "dtype": "bfloat16",
+    "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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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "max_length": 1024,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.3"
+}

text_encoder/model.flashpack

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tokenizer/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 -%}

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.json

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transformer/config.json

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+{
+  "_class_name": "LTXModel",
+  "_diffusers_version": "0.36.0",
+  "attention_head_dim": 128,
+  "attention_type": "default",
+  "audio_attention_head_dim": 64,
+  "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_channels": 3840,
+  "cross_attention_dim": 4096,
+  "double_precision_rope": true,
+  "in_channels": 128,
+  "model_type": "audio-video",
+  "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": "Decoder",
+  "_diffusers_version": "0.36.0",
+  "causal": false,
+  "convolution_dimensions": 3,
+  "decode_noise_scale": 0.025,
+  "decode_timestep": 0.05,
+  "decoder_blocks": [
+    [
+      "res_x",
+      {
+        "inject_noise": false,
+        "num_layers": 5
+      }
+    ],
+    [
+      "compress_all",
+      {
+        "multiplier": 2,
+        "residual": true
+      }
+    ],
+    [
+      "res_x",
+      {
+        "inject_noise": false,
+        "num_layers": 5
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+    [
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+      {
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+        "residual": true
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+    ],
+    [
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+      {
+        "inject_noise": false,
+        "num_layers": 5
+      }
+    ],
+    [
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+      {
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+        "residual": true
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+    ],
+    [
+      "res_x",
+      {
+        "inject_noise": false,
+        "num_layers": 5
+      }
+    ]
+  ],
+  "decoder_spatial_padding_mode": "reflect",
+  "in_channels": 128,
+  "norm_layer": "pixel_norm",
+  "out_channels": 3,
+  "patch_size": 4,
+  "timestep_conditioning": false
+}

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video_encoder/config.json

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+{
+  "_class_name": "Encoder",
+  "_diffusers_version": "0.36.0",
+  "convolution_dimensions": 3,
+  "encoder_blocks": [
+    [
+      "res_x",
+      {
+        "num_layers": 4
+      }
+    ],
+    [
+      "compress_space_res",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      {
+        "num_layers": 6
+      }
+    ],
+    [
+      "compress_time_res",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      {
+        "num_layers": 6
+      }
+    ],
+    [
+      "compress_all_res",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      {
+        "num_layers": 2
+      }
+    ],
+    [
+      "compress_all_res",
+      {
+        "multiplier": 2
+      }
+    ],
+    [
+      "res_x",
+      {
+        "num_layers": 2
+      }
+    ]
+  ],
+  "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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vocoder/config.json

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+{
+  "_class_name": "Vocoder",
+  "_diffusers_version": "0.36.0",
+  "output_sample_rate": 24000,
+  "resblock": "1",
+  "resblock_dilation_sizes": [
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
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+  "resblock_kernel_sizes": [
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+  "upsample_kernel_sizes": [
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+    4,
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+  ],
+  "upsample_rates": [
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+    5,
+    2,
+    2,
+    2
+  ]
+}

vocoder/model.flashpack

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