Instructions to use Shriramnag/ShivAI-Image-to-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shriramnag/ShivAI-Image-to-Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shriramnag/ShivAI-Image-to-Video", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- model_index.json +36 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +114 -0
- text_encoder/diffusion_pytorch_model.safetensors.index.json +0 -0
- text_encoder/generation_config.json +11 -0
- text_encoder/model.safetensors.index.json +0 -0
- tokenizer/added_tokens.json +3 -0
- tokenizer/chat_template.jinja +47 -0
- tokenizer/preprocessor_config.json +29 -0
- tokenizer/processor_config.json +4 -0
- tokenizer/special_tokens_map.json +33 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer.model +3 -0
- tokenizer/tokenizer_config.json +0 -0
- transformer/config.json +44 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
- vae/config.json +81 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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model_index.json
ADDED
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@@ -0,0 +1,36 @@
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{
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"_class_name": "LTX2Pipeline",
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"_diffusers_version": "0.37.0.dev0",
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"audio_vae": [
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"diffusers",
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"AutoencoderKLLTX2Audio"
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],
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"connectors": [
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"ltx2",
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"LTX2TextConnectors"
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],
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"Gemma3ForConditionalGeneration"
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],
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"tokenizer": [
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"transformers",
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"GemmaTokenizerFast"
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],
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"transformer": [
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"diffusers",
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"LTX2VideoTransformer3DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLLTX2Video"
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],
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| 32 |
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"vocoder": [
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"ltx2",
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"LTX2Vocoder"
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]
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}
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scheduler/scheduler_config.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.37.0.dev0",
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"base_image_seq_len": 1024,
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"base_shift": 0.95,
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"invert_sigmas": false,
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"max_image_seq_len": 4096,
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"max_shift": 2.05,
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"num_train_timesteps": 1000,
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"shift": 1.0,
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"shift_terminal": 0.1,
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"stochastic_sampling": false,
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"time_shift_type": "exponential",
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"use_beta_sigmas": false,
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"use_dynamic_shifting": true,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
ADDED
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@@ -0,0 +1,114 @@
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{
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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| 5 |
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"boi_token_index": 255999,
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| 6 |
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"dtype": "float32",
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"eoi_token_index": 256000,
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"eos_token_id": [
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1,
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106
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],
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"image_token_index": 262144,
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| 13 |
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"initializer_range": 0.02,
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| 14 |
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"mm_tokens_per_image": 256,
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| 15 |
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"model_type": "gemma3",
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"text_config": {
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| 17 |
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"_sliding_window_pattern": 6,
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| 18 |
+
"attention_bias": false,
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| 19 |
+
"attention_dropout": 0.0,
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| 20 |
+
"attn_logit_softcapping": null,
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| 21 |
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"cache_implementation": "hybrid",
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| 22 |
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"dtype": "float32",
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| 23 |
+
"final_logit_softcapping": null,
|
| 24 |
+
"head_dim": 256,
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| 25 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 26 |
+
"hidden_size": 3840,
|
| 27 |
+
"initializer_range": 0.02,
|
| 28 |
+
"intermediate_size": 15360,
|
| 29 |
+
"layer_types": [
|
| 30 |
+
"sliding_attention",
|
| 31 |
+
"sliding_attention",
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| 32 |
+
"sliding_attention",
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| 33 |
+
"sliding_attention",
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| 34 |
+
"sliding_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"sliding_attention",
|
| 37 |
+
"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"sliding_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"sliding_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"sliding_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"sliding_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"sliding_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"sliding_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"sliding_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
+
"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"sliding_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"sliding_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"sliding_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"full_attention",
|
| 72 |
+
"sliding_attention",
|
| 73 |
+
"sliding_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"full_attention"
|
| 78 |
+
],
|
| 79 |
+
"max_position_embeddings": 131072,
|
| 80 |
+
"model_type": "gemma3_text",
|
| 81 |
+
"num_attention_heads": 16,
|
| 82 |
+
"num_hidden_layers": 48,
|
| 83 |
+
"num_key_value_heads": 8,
|
| 84 |
+
"query_pre_attn_scalar": 256,
|
| 85 |
+
"rms_norm_eps": 1e-06,
|
| 86 |
+
"rope_local_base_freq": 10000,
|
| 87 |
+
"rope_scaling": {
|
| 88 |
+
"factor": 8.0,
|
| 89 |
+
"rope_type": "linear"
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| 90 |
+
},
|
| 91 |
+
"rope_theta": 1000000,
|
| 92 |
+
"sliding_window": 1024,
|
| 93 |
+
"sliding_window_pattern": 6,
|
| 94 |
+
"use_bidirectional_attention": false,
|
| 95 |
+
"use_cache": true,
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| 96 |
+
"vocab_size": 262208
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| 97 |
+
},
|
| 98 |
+
"transformers_version": "4.57.3",
|
| 99 |
+
"vision_config": {
|
| 100 |
+
"attention_dropout": 0.0,
|
| 101 |
+
"dtype": "float32",
|
| 102 |
+
"hidden_act": "gelu_pytorch_tanh",
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| 103 |
+
"hidden_size": 1152,
|
| 104 |
+
"image_size": 896,
|
| 105 |
+
"intermediate_size": 4304,
|
| 106 |
+
"layer_norm_eps": 1e-06,
|
| 107 |
+
"model_type": "siglip_vision_model",
|
| 108 |
+
"num_attention_heads": 16,
|
| 109 |
+
"num_channels": 3,
|
| 110 |
+
"num_hidden_layers": 27,
|
| 111 |
+
"patch_size": 14,
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| 112 |
+
"vision_use_head": false
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| 113 |
+
}
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| 114 |
+
}
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text_encoder/diffusion_pytorch_model.safetensors.index.json
ADDED
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The diff for this file is too large to render.
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text_encoder/generation_config.json
ADDED
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{
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": [
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1,
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106
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],
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| 8 |
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"top_k": 64,
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| 9 |
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"top_p": 0.95,
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| 10 |
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"transformers_version": "4.57.3"
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| 11 |
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}
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text_encoder/model.safetensors.index.json
ADDED
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The diff for this file is too large to render.
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tokenizer/added_tokens.json
ADDED
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@@ -0,0 +1,3 @@
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{
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"<image_soft_token>": 262144
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}
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tokenizer/chat_template.jinja
ADDED
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{{ bos_token }}
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| 2 |
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{%- if messages[0]['role'] == 'system' -%}
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| 3 |
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{%- if messages[0]['content'] is string -%}
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| 4 |
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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| 7 |
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{%- else -%}
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| 8 |
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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| 9 |
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| 10 |
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' -%}
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| 11 |
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{%- endif -%}
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| 12 |
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{%- set loop_messages = messages[1:] -%}
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| 13 |
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{%- else -%}
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| 14 |
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{%- set first_user_prefix = "" -%}
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| 15 |
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{%- set loop_messages = messages -%}
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| 16 |
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{%- endif -%}
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| 17 |
+
{%- for message in loop_messages -%}
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| 18 |
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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| 19 |
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
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{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
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{%- set role = "model" -%}
|
| 23 |
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{%- else -%}
|
| 24 |
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{%- set role = message['role'] -%}
|
| 25 |
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{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
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{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
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| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
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{{ item['text'] | trim }}
|
| 36 |
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{%- endif -%}
|
| 37 |
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{%- endfor -%}
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| 38 |
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{%- else -%}
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| 39 |
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{{ raise_exception("Invalid content type") }}
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| 40 |
+
{%- endif -%}
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| 41 |
+
{{ '<end_of_turn>
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| 42 |
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' }}
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| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
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tokenizer/preprocessor_config.json
ADDED
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@@ -0,0 +1,29 @@
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|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"do_normalize": true,
|
| 4 |
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"do_pan_and_scan": null,
|
| 5 |
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"do_rescale": true,
|
| 6 |
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"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
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"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
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"pan_and_scan_max_num_crops": null,
|
| 20 |
+
"pan_and_scan_min_crop_size": null,
|
| 21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 22 |
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"processor_class": "Gemma3Processor",
|
| 23 |
+
"resample": 2,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
|
| 25 |
+
"size": {
|
| 26 |
+
"height": 896,
|
| 27 |
+
"width": 896
|
| 28 |
+
}
|
| 29 |
+
}
|
tokenizer/processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<eos>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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| 3 |
+
size 33384568
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tokenizer/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
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| 3 |
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size 4689074
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tokenizer/tokenizer_config.json
ADDED
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The diff for this file is too large to render.
See raw diff
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|
|
transformer/config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "LTX2VideoTransformer3DModel",
|
| 3 |
+
"_diffusers_version": "0.37.0.dev0",
|
| 4 |
+
"activation_fn": "gelu-approximate",
|
| 5 |
+
"attention_bias": true,
|
| 6 |
+
"attention_head_dim": 128,
|
| 7 |
+
"attention_out_bias": true,
|
| 8 |
+
"audio_attention_head_dim": 64,
|
| 9 |
+
"audio_cross_attention_dim": 2048,
|
| 10 |
+
"audio_hop_length": 160,
|
| 11 |
+
"audio_in_channels": 128,
|
| 12 |
+
"audio_num_attention_heads": 32,
|
| 13 |
+
"audio_out_channels": 128,
|
| 14 |
+
"audio_patch_size": 1,
|
| 15 |
+
"audio_patch_size_t": 1,
|
| 16 |
+
"audio_pos_embed_max_pos": 20,
|
| 17 |
+
"audio_sampling_rate": 16000,
|
| 18 |
+
"audio_scale_factor": 4,
|
| 19 |
+
"base_height": 2048,
|
| 20 |
+
"base_width": 2048,
|
| 21 |
+
"caption_channels": 3840,
|
| 22 |
+
"causal_offset": 1,
|
| 23 |
+
"cross_attention_dim": 4096,
|
| 24 |
+
"cross_attn_timestep_scale_multiplier": 1000,
|
| 25 |
+
"in_channels": 128,
|
| 26 |
+
"norm_elementwise_affine": false,
|
| 27 |
+
"norm_eps": 1e-06,
|
| 28 |
+
"num_attention_heads": 32,
|
| 29 |
+
"num_layers": 48,
|
| 30 |
+
"out_channels": 128,
|
| 31 |
+
"patch_size": 1,
|
| 32 |
+
"patch_size_t": 1,
|
| 33 |
+
"pos_embed_max_pos": 20,
|
| 34 |
+
"qk_norm": "rms_norm_across_heads",
|
| 35 |
+
"rope_double_precision": true,
|
| 36 |
+
"rope_theta": 10000.0,
|
| 37 |
+
"rope_type": "split",
|
| 38 |
+
"timestep_scale_multiplier": 1000,
|
| 39 |
+
"vae_scale_factors": [
|
| 40 |
+
8,
|
| 41 |
+
32,
|
| 42 |
+
32
|
| 43 |
+
]
|
| 44 |
+
}
|
transformer/diffusion_pytorch_model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
vae/config.json
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLLTX2Video",
|
| 3 |
+
"_diffusers_version": "0.37.0.dev0",
|
| 4 |
+
"block_out_channels": [
|
| 5 |
+
256,
|
| 6 |
+
512,
|
| 7 |
+
1024,
|
| 8 |
+
2048
|
| 9 |
+
],
|
| 10 |
+
"decoder_block_out_channels": [
|
| 11 |
+
256,
|
| 12 |
+
512,
|
| 13 |
+
1024
|
| 14 |
+
],
|
| 15 |
+
"decoder_causal": false,
|
| 16 |
+
"decoder_inject_noise": [
|
| 17 |
+
false,
|
| 18 |
+
false,
|
| 19 |
+
false,
|
| 20 |
+
false
|
| 21 |
+
],
|
| 22 |
+
"decoder_layers_per_block": [
|
| 23 |
+
5,
|
| 24 |
+
5,
|
| 25 |
+
5,
|
| 26 |
+
5
|
| 27 |
+
],
|
| 28 |
+
"decoder_spatial_padding_mode": "reflect",
|
| 29 |
+
"decoder_spatio_temporal_scaling": [
|
| 30 |
+
true,
|
| 31 |
+
true,
|
| 32 |
+
true
|
| 33 |
+
],
|
| 34 |
+
"down_block_types": [
|
| 35 |
+
"LTX2VideoDownBlock3D",
|
| 36 |
+
"LTX2VideoDownBlock3D",
|
| 37 |
+
"LTX2VideoDownBlock3D",
|
| 38 |
+
"LTX2VideoDownBlock3D"
|
| 39 |
+
],
|
| 40 |
+
"downsample_type": [
|
| 41 |
+
"spatial",
|
| 42 |
+
"temporal",
|
| 43 |
+
"spatiotemporal",
|
| 44 |
+
"spatiotemporal"
|
| 45 |
+
],
|
| 46 |
+
"encoder_causal": true,
|
| 47 |
+
"encoder_spatial_padding_mode": "zeros",
|
| 48 |
+
"in_channels": 3,
|
| 49 |
+
"latent_channels": 128,
|
| 50 |
+
"layers_per_block": [
|
| 51 |
+
4,
|
| 52 |
+
6,
|
| 53 |
+
6,
|
| 54 |
+
2,
|
| 55 |
+
2
|
| 56 |
+
],
|
| 57 |
+
"out_channels": 3,
|
| 58 |
+
"patch_size": 4,
|
| 59 |
+
"patch_size_t": 1,
|
| 60 |
+
"resnet_norm_eps": 1e-06,
|
| 61 |
+
"scaling_factor": 1.0,
|
| 62 |
+
"spatial_compression_ratio": 32,
|
| 63 |
+
"spatio_temporal_scaling": [
|
| 64 |
+
true,
|
| 65 |
+
true,
|
| 66 |
+
true,
|
| 67 |
+
true
|
| 68 |
+
],
|
| 69 |
+
"temporal_compression_ratio": 8,
|
| 70 |
+
"timestep_conditioning": false,
|
| 71 |
+
"upsample_factor": [
|
| 72 |
+
2,
|
| 73 |
+
2,
|
| 74 |
+
2
|
| 75 |
+
],
|
| 76 |
+
"upsample_residual": [
|
| 77 |
+
true,
|
| 78 |
+
true,
|
| 79 |
+
true
|
| 80 |
+
]
|
| 81 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:107cc359e3c4bce18c53d98686f4b3fe10c4207b6665d89b38b0741270514bfb
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| 3 |
+
size 2444982370
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