Upload 16 files
Browse files- scheduler/scheduler_config.json +30 -0
- text_encoder/config.json +63 -0
- text_encoder/generation_config.json +14 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/chat_template.json +4 -0
- tokenizer/merges.txt +0 -0
- tokenizer/preprocessor_config.json +21 -0
- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +239 -0
- tokenizer/video_preprocessor_config.json +21 -0
- tokenizer/vocab.json +0 -0
- transformer/config.json +27 -0
- transformer/diffusion_pytorch_model-00001-of-00001.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +546 -0
- vae/config.json +89 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
scheduler/scheduler_config.json
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{
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"_class_name": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.33.1",
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"algorithm_type": "dpmsolver++",
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"beta_end": 0.02,
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"beta_schedule": "linear",
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"beta_start": 0.0001,
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"dynamic_thresholding_ratio": 0.995,
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"euler_at_final": false,
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"final_sigmas_type": "zero",
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"flow_shift": 3.0,
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"lambda_min_clipped": -Infinity,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "flow_prediction",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"solver_order": 2,
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"solver_type": "midpoint",
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"steps_offset": 0,
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"thresholding": false,
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"timestep_spacing": "linspace",
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"trained_betas": null,
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"use_beta_sigmas": false,
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"use_exponential_sigmas": false,
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"use_flow_sigmas": true,
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"use_karras_sigmas": false,
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"use_lu_lambdas": false,
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"variance_type": null
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}
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text_encoder/config.json
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{
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"architectures": [
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"Qwen3VLForConditionalGeneration"
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],
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"image_token_id": 151655,
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"model_type": "qwen3_vl",
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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"max_position_embeddings": 262144,
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"model_type": "qwen3_vl_text",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"mrope_interleaved": true,
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"mrope_section": [
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24,
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20,
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20
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],
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"rope_type": "default"
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},
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"rope_theta": 5000000,
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"tie_word_embeddings": true,
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"use_cache": true,
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"vocab_size": 151936
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},
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"tie_word_embeddings": true,
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"transformers_version": "4.57.1",
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"video_token_id": 151656,
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"vision_config": {
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"deepstack_visual_indexes": [
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5,
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11,
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17
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],
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"depth": 24,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1024,
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"in_channels": 3,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "qwen3_vl",
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"num_heads": 16,
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"num_position_embeddings": 2304,
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"out_hidden_size": 2048,
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"patch_size": 16,
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"spatial_merge_size": 2,
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"temporal_patch_size": 2
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},
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"vision_end_token_id": 151653,
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"vision_start_token_id": 151652
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}
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text_encoder/generation_config.json
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{
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"bos_token_id": 151643,
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"pad_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"top_p": 0.8,
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"top_k": 20,
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"temperature": 0.7,
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"repetition_penalty": 1.0,
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"transformers_version": "4.56.0"
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}
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7de1838c87a5349b016c26a1c3f7d2bc400a3d485f95ef39a7059ffd734977a0
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size 4255140312
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tokenizer/chat_template.json
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{
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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
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}
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tokenizer/merges.txt
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tokenizer/preprocessor_config.json
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{
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"size": {
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"longest_edge": 16777216,
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"shortest_edge": 65536
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},
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"patch_size": 16,
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"temporal_patch_size": 2,
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"merge_size": 2,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "Qwen3VLProcessor",
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"image_processor_type": "Qwen2VLImageProcessorFast"
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}
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tokenizer/tokenizer.json
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tokenizer/tokenizer_config.json
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|im_end|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
"model_max_length": 262144,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
tokenizer/video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
transformer/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "VIBESanaEditingModel",
|
| 3 |
+
"_diffusers_version": "0.33.1",
|
| 4 |
+
"attention_bias": false,
|
| 5 |
+
"attention_head_dim": 32,
|
| 6 |
+
"caption_channels": 2304,
|
| 7 |
+
"cross_attention_dim": 2240,
|
| 8 |
+
"cross_attention_head_dim": 112,
|
| 9 |
+
"dropout": 0.0,
|
| 10 |
+
"guidance_embeds": false,
|
| 11 |
+
"in_channels": 64,
|
| 12 |
+
"interpolation_scale": null,
|
| 13 |
+
"mlp_ratio": 2.5,
|
| 14 |
+
"norm_elementwise_affine": false,
|
| 15 |
+
"norm_eps": 1e-06,
|
| 16 |
+
"num_attention_heads": 70,
|
| 17 |
+
"num_cross_attention_heads": 20,
|
| 18 |
+
"num_layers": 20,
|
| 19 |
+
"out_channels": 32,
|
| 20 |
+
"patch_size": 1,
|
| 21 |
+
"qk_norm": "rms_norm_across_heads",
|
| 22 |
+
"edit_head_input_dim": 2048,
|
| 23 |
+
"edit_head_stacks_num": 4,
|
| 24 |
+
"num_meta_queries": 224,
|
| 25 |
+
"meta_queries_dim": 2048,
|
| 26 |
+
"input_condition_type": "channel_cat"
|
| 27 |
+
}
|
transformer/diffusion_pytorch_model-00001-of-00001.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac81406ec9f673a120695f83db41745f1b7b0e8a0b1f45a8de66aa420fc52c54
|
| 3 |
+
size 3765399232
|
transformer/diffusion_pytorch_model.safetensors.index.json
ADDED
|
@@ -0,0 +1,546 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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+
"transformer_blocks.9.attn2.to_k.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 533 |
+
"transformer_blocks.9.attn2.to_out.0.bias": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 534 |
+
"transformer_blocks.9.attn2.to_out.0.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 535 |
+
"transformer_blocks.9.attn2.to_q.bias": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 536 |
+
"transformer_blocks.9.attn2.to_q.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 537 |
+
"transformer_blocks.9.attn2.to_v.bias": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 538 |
+
"transformer_blocks.9.attn2.to_v.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 539 |
+
"transformer_blocks.9.ff.conv_depth.bias": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 540 |
+
"transformer_blocks.9.ff.conv_depth.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 541 |
+
"transformer_blocks.9.ff.conv_inverted.bias": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 542 |
+
"transformer_blocks.9.ff.conv_inverted.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 543 |
+
"transformer_blocks.9.ff.conv_point.weight": "diffusion_pytorch_model-00001-of-00001.safetensors",
|
| 544 |
+
"transformer_blocks.9.scale_shift_table": "diffusion_pytorch_model-00001-of-00001.safetensors"
|
| 545 |
+
}
|
| 546 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderDC",
|
| 3 |
+
"_diffusers_version": "0.33.1",
|
| 4 |
+
"_name_or_path": "mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers",
|
| 5 |
+
"attention_head_dim": 32,
|
| 6 |
+
"decoder_act_fns": "silu",
|
| 7 |
+
"decoder_block_out_channels": [
|
| 8 |
+
128,
|
| 9 |
+
256,
|
| 10 |
+
512,
|
| 11 |
+
512,
|
| 12 |
+
1024,
|
| 13 |
+
1024
|
| 14 |
+
],
|
| 15 |
+
"decoder_block_types": [
|
| 16 |
+
"ResBlock",
|
| 17 |
+
"ResBlock",
|
| 18 |
+
"ResBlock",
|
| 19 |
+
"EfficientViTBlock",
|
| 20 |
+
"EfficientViTBlock",
|
| 21 |
+
"EfficientViTBlock"
|
| 22 |
+
],
|
| 23 |
+
"decoder_layers_per_block": [
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
3,
|
| 27 |
+
3,
|
| 28 |
+
3,
|
| 29 |
+
3
|
| 30 |
+
],
|
| 31 |
+
"decoder_norm_types": "rms_norm",
|
| 32 |
+
"decoder_qkv_multiscales": [
|
| 33 |
+
[],
|
| 34 |
+
[],
|
| 35 |
+
[],
|
| 36 |
+
[
|
| 37 |
+
5
|
| 38 |
+
],
|
| 39 |
+
[
|
| 40 |
+
5
|
| 41 |
+
],
|
| 42 |
+
[
|
| 43 |
+
5
|
| 44 |
+
]
|
| 45 |
+
],
|
| 46 |
+
"downsample_block_type": "Conv",
|
| 47 |
+
"encoder_block_out_channels": [
|
| 48 |
+
128,
|
| 49 |
+
256,
|
| 50 |
+
512,
|
| 51 |
+
512,
|
| 52 |
+
1024,
|
| 53 |
+
1024
|
| 54 |
+
],
|
| 55 |
+
"encoder_block_types": [
|
| 56 |
+
"ResBlock",
|
| 57 |
+
"ResBlock",
|
| 58 |
+
"ResBlock",
|
| 59 |
+
"EfficientViTBlock",
|
| 60 |
+
"EfficientViTBlock",
|
| 61 |
+
"EfficientViTBlock"
|
| 62 |
+
],
|
| 63 |
+
"encoder_layers_per_block": [
|
| 64 |
+
2,
|
| 65 |
+
2,
|
| 66 |
+
2,
|
| 67 |
+
3,
|
| 68 |
+
3,
|
| 69 |
+
3
|
| 70 |
+
],
|
| 71 |
+
"encoder_qkv_multiscales": [
|
| 72 |
+
[],
|
| 73 |
+
[],
|
| 74 |
+
[],
|
| 75 |
+
[
|
| 76 |
+
5
|
| 77 |
+
],
|
| 78 |
+
[
|
| 79 |
+
5
|
| 80 |
+
],
|
| 81 |
+
[
|
| 82 |
+
5
|
| 83 |
+
]
|
| 84 |
+
],
|
| 85 |
+
"in_channels": 3,
|
| 86 |
+
"latent_channels": 32,
|
| 87 |
+
"scaling_factor": 0.41407,
|
| 88 |
+
"upsample_block_type": "interpolate"
|
| 89 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfd991d1b54ffabf22745c5885589d8f2a7bc59930d95d92bd741c4fc64454bb
|
| 3 |
+
size 1249044836
|