Image-to-Video
Wan2.2
Safetensors
English
world-model
physical-language
video-generation
motion-transfer
qwen3-vl
Instructions to use misumiuika/phi_zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use misumiuika/phi_zero with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit ·
0bdb7fd
0
Parent(s):
Duplicate from ShuyaoShang/PhiZero
Browse filesCo-authored-by: Shuyao Shang <ShuyaoShang@users.noreply.huggingface.co>
- .gitattributes +36 -0
- README.md +170 -0
- reasoner/chat_template.jinja +120 -0
- reasoner/config.json +71 -0
- reasoner/generation_config.json +14 -0
- reasoner/model-00001-of-00002.safetensors +3 -0
- reasoner/model-00002-of-00002.safetensors +3 -0
- reasoner/model.safetensors.index.json +722 -0
- reasoner/preprocessor_config.json +21 -0
- reasoner/processor_config.json +60 -0
- reasoner/tokenizer.json +3 -0
- reasoner/tokenizer_config.json +0 -0
- tokenizer/model_config.json +44 -0
- tokenizer/tokenizer.safetensors +3 -0
.gitattributes
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reasoner/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,170 @@
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| 1 |
+
---
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| 2 |
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language:
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| 3 |
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- en
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| 4 |
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license: apache-2.0
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| 5 |
+
base_model:
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| 6 |
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- Qwen/Qwen3-VL-4B-Instruct
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| 7 |
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- Wan-AI/Wan2.2-TI2V-5B
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| 8 |
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tags:
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| 9 |
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- world-model
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- physical-language
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| 11 |
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- video-generation
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| 12 |
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- image-to-video
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| 13 |
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- motion-transfer
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| 14 |
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- qwen3-vl
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| 15 |
+
- wan2.2
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| 16 |
+
- arxiv:2607.28624
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| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# PhiZero
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| 20 |
+
|
| 21 |
+
Official checkpoints for **PhiZero: A World Model Built Around Physical
|
| 22 |
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Language**.
|
| 23 |
+
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| 24 |
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PhiZero reasons about future dynamics in a discrete **Physical Language**
|
| 25 |
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before rendering those dynamics as video.
|
| 26 |
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| 27 |
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- [Project page](https://phi-zero.github.io/)
|
| 28 |
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- [Paper](https://arxiv.org/abs/2607.28624)
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| 29 |
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- [Code](https://github.com/yaoyao-jpg/PhiZero)
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| 30 |
+
|
| 31 |
+
## Repository contents
|
| 32 |
+
|
| 33 |
+
```text
|
| 34 |
+
.
|
| 35 |
+
├── reasoner/
|
| 36 |
+
│ ├── config.json
|
| 37 |
+
│ ├── model-00001-of-00002.safetensors
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| 38 |
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│ ├── model-00002-of-00002.safetensors
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| 39 |
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│ ├── model.safetensors.index.json
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| 40 |
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│ └── tokenizer and processor files
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| 41 |
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└── tokenizer/
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| 42 |
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├── tokenizer.safetensors
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| 43 |
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└── model_config.json
|
| 44 |
+
```
|
| 45 |
+
|
| 46 |
+
### Physical Language Reasoner
|
| 47 |
+
|
| 48 |
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`reasoner/` contains the Qwen3-VL-based Physical Language Reasoner. Given a
|
| 49 |
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first frame and an English motion caption, it predicts:
|
| 50 |
+
|
| 51 |
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```text
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| 52 |
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<bom> + 256 Physical Language symbols + <eom>
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| 53 |
+
```
|
| 54 |
+
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| 55 |
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The Physical Language vocabulary contains 25,000 symbols, from `<m_0>` through
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| 56 |
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`<m_24999>`.
|
| 57 |
+
|
| 58 |
+
### Physical Language Tokenizer and diffusion decoder
|
| 59 |
+
|
| 60 |
+
`tokenizer/tokenizer.safetensors` contains:
|
| 61 |
+
|
| 62 |
+
- the Physical Language Tokenizer;
|
| 63 |
+
- the inverse-FSQ and context-conditioning modules;
|
| 64 |
+
- the PhiZero DiT LoRA weights.
|
| 65 |
+
|
| 66 |
+
Keep `tokenizer/model_config.json` beside the checkpoint. The official
|
| 67 |
+
Wan2.2-TI2V-5B base DiT and VAE are not included here. They are resolved
|
| 68 |
+
separately by the PhiZero code or supplied through local Wan checkpoint paths.
|
| 69 |
+
|
| 70 |
+
## Download
|
| 71 |
+
|
| 72 |
+
While this repository is private, authenticate with an account that has access:
|
| 73 |
+
|
| 74 |
+
```bash
|
| 75 |
+
hf auth login
|
| 76 |
+
```
|
| 77 |
+
|
| 78 |
+
Clone the PhiZero code and download all checkpoints into the layout expected by
|
| 79 |
+
the release:
|
| 80 |
+
|
| 81 |
+
```bash
|
| 82 |
+
git clone https://github.com/yaoyao-jpg/PhiZero
|
| 83 |
+
cd PhiZero
|
| 84 |
+
|
| 85 |
+
hf download ShuyaoShang/PhiZero --local-dir ckpt
|
| 86 |
+
```
|
| 87 |
+
|
| 88 |
+
The resulting directory is:
|
| 89 |
+
|
| 90 |
+
```text
|
| 91 |
+
PhiZero/
|
| 92 |
+
└── ckpt/
|
| 93 |
+
├── reasoner/
|
| 94 |
+
└── tokenizer/
|
| 95 |
+
```
|
| 96 |
+
|
| 97 |
+
Download only the tokenizer/decoder checkpoint:
|
| 98 |
+
|
| 99 |
+
```bash
|
| 100 |
+
hf download ShuyaoShang/PhiZero \
|
| 101 |
+
tokenizer/tokenizer.safetensors \
|
| 102 |
+
tokenizer/model_config.json \
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| 103 |
+
--local-dir ckpt
|
| 104 |
+
```
|
| 105 |
+
|
| 106 |
+
Download only the reasoner:
|
| 107 |
+
|
| 108 |
+
```bash
|
| 109 |
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hf download ShuyaoShang/PhiZero \
|
| 110 |
+
--include "reasoner/*" \
|
| 111 |
+
--local-dir ckpt
|
| 112 |
+
```
|
| 113 |
+
|
| 114 |
+
## Usage
|
| 115 |
+
|
| 116 |
+
Follow the installation, training, and inference instructions in the
|
| 117 |
+
[PhiZero code repository](https://github.com/yaoyao-jpg/PhiZero).
|
| 118 |
+
|
| 119 |
+
The default local checkpoint paths are:
|
| 120 |
+
|
| 121 |
+
```bash
|
| 122 |
+
export PHIZERO_REASONER_CHECKPOINT="${PWD}/ckpt/reasoner"
|
| 123 |
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export PHIZERO_DECODER_CHECKPOINT="${PWD}/ckpt/tokenizer/tokenizer.safetensors"
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| 124 |
+
```
|
| 125 |
+
|
| 126 |
+
## Important note for motion transfer
|
| 127 |
+
|
| 128 |
+
The included `tokenizer/tokenizer.safetensors` is a general initialization
|
| 129 |
+
checkpoint and cannot be used directly for robot-domain or sim-to-real motion
|
| 130 |
+
transfer. First fine-tune it with videos from the same domain as the source
|
| 131 |
+
motion.
|
| 132 |
+
|
| 133 |
+
If no additional domain-matched data are available, the source videos can be
|
| 134 |
+
used directly through reconstruction training. Target videos and paired
|
| 135 |
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source-target data are not required. See the source-domain adaptation section
|
| 136 |
+
in the PhiZero code repository before running motion transfer.
|
| 137 |
+
|
| 138 |
+
## Model settings
|
| 139 |
+
|
| 140 |
+
- Output resolution: 896 x 512
|
| 141 |
+
- Output length: 33 frames
|
| 142 |
+
- Frame rate: 8 FPS
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| 143 |
+
- Physical Language length: 256 symbols
|
| 144 |
+
- Physical Language codebook size: 25,000
|
| 145 |
+
- Default diffusion steps: 50
|
| 146 |
+
|
| 147 |
+
## Intended use and limitations
|
| 148 |
+
|
| 149 |
+
PhiZero is intended for research on physical-dynamics reasoning, video world
|
| 150 |
+
models, reconstruction, and motion transfer.
|
| 151 |
+
|
| 152 |
+
It is not a guaranteed physical simulator. Generated dynamics can be
|
| 153 |
+
inaccurate, unstable, or inconsistent with real-world constraints. Results
|
| 154 |
+
should not be used directly for safety-critical control or decision-making.
|
| 155 |
+
|
| 156 |
+
Inference requires the custom PhiZero code. These checkpoints are not intended
|
| 157 |
+
to run through the standard hosted Hugging Face inference widget. Users must
|
| 158 |
+
also comply with the licenses and terms of the upstream base models.
|
| 159 |
+
|
| 160 |
+
## Citation
|
| 161 |
+
|
| 162 |
+
```bibtex
|
| 163 |
+
@article{shang2026phizero,
|
| 164 |
+
title = {PhiZero: A World Model Built Around Physical Language},
|
| 165 |
+
author = {Shang, Shuyao and Wang, Yuqi and Gao, Ruopeng and Chen, Xu and
|
| 166 |
+
Tan, Tieniu and Fan, Lue and Zhang, Zhaoxiang},
|
| 167 |
+
journal = {arXiv preprint arXiv:2607.28624},
|
| 168 |
+
year = {2026}
|
| 169 |
+
}
|
| 170 |
+
```
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reasoner/chat_template.jinja
ADDED
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| 1 |
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{%- if tools %}
|
| 2 |
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{{- '<|im_start|>system\n' }}
|
| 3 |
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{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
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{%- else %}
|
| 7 |
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{%- for content in messages[0].content %}
|
| 8 |
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{%- if 'text' in content %}
|
| 9 |
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{{- content.text }}
|
| 10 |
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{%- endif %}
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| 11 |
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{%- endfor %}
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| 12 |
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{%- endif %}
|
| 13 |
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{{- '\n\n' }}
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| 14 |
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{%- endif %}
|
| 15 |
+
{{- "# 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>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\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" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
reasoner/config.json
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": null,
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_size": 2560,
|
| 9 |
+
"image_token_id": 151655,
|
| 10 |
+
"model_type": "qwen3_vl",
|
| 11 |
+
"pad_token_id": 151643,
|
| 12 |
+
"text_config": {
|
| 13 |
+
"attention_bias": false,
|
| 14 |
+
"attention_dropout": 0.0,
|
| 15 |
+
"bos_token_id": 151643,
|
| 16 |
+
"dtype": "bfloat16",
|
| 17 |
+
"eos_token_id": 151645,
|
| 18 |
+
"head_dim": 128,
|
| 19 |
+
"hidden_act": "silu",
|
| 20 |
+
"hidden_size": 2560,
|
| 21 |
+
"initializer_range": 0.02,
|
| 22 |
+
"intermediate_size": 9728,
|
| 23 |
+
"max_position_embeddings": 262144,
|
| 24 |
+
"model_type": "qwen3_vl_text",
|
| 25 |
+
"num_attention_heads": 32,
|
| 26 |
+
"num_hidden_layers": 36,
|
| 27 |
+
"num_key_value_heads": 8,
|
| 28 |
+
"pad_token_id": 151643,
|
| 29 |
+
"rms_norm_eps": 1e-06,
|
| 30 |
+
"rope_parameters": {
|
| 31 |
+
"mrope_interleaved": true,
|
| 32 |
+
"mrope_section": [
|
| 33 |
+
24,
|
| 34 |
+
20,
|
| 35 |
+
20
|
| 36 |
+
],
|
| 37 |
+
"rope_theta": 5000000,
|
| 38 |
+
"rope_type": "default"
|
| 39 |
+
},
|
| 40 |
+
"tie_word_embeddings": true,
|
| 41 |
+
"use_cache": false,
|
| 42 |
+
"vocab_size": 176768
|
| 43 |
+
},
|
| 44 |
+
"tie_word_embeddings": true,
|
| 45 |
+
"transformers_version": "5.12.1",
|
| 46 |
+
"use_cache": false,
|
| 47 |
+
"video_token_id": 151656,
|
| 48 |
+
"vision_config": {
|
| 49 |
+
"deepstack_visual_indexes": [
|
| 50 |
+
5,
|
| 51 |
+
11,
|
| 52 |
+
17
|
| 53 |
+
],
|
| 54 |
+
"depth": 24,
|
| 55 |
+
"dtype": "bfloat16",
|
| 56 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 57 |
+
"hidden_size": 1024,
|
| 58 |
+
"in_channels": 3,
|
| 59 |
+
"initializer_range": 0.02,
|
| 60 |
+
"intermediate_size": 4096,
|
| 61 |
+
"model_type": "qwen3_vl_vision",
|
| 62 |
+
"num_heads": 16,
|
| 63 |
+
"num_position_embeddings": 2304,
|
| 64 |
+
"out_hidden_size": 2560,
|
| 65 |
+
"patch_size": 16,
|
| 66 |
+
"spatial_merge_size": 2,
|
| 67 |
+
"temporal_patch_size": 2
|
| 68 |
+
},
|
| 69 |
+
"vision_end_token_id": 151653,
|
| 70 |
+
"vision_start_token_id": 151652
|
| 71 |
+
}
|
reasoner/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.0,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "5.12.1"
|
| 14 |
+
}
|
reasoner/model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:daf86c6949efe8188b62bf0c48861681d36966a95ba6da99cd40a9195ae4fe91
|
| 3 |
+
size 4992726864
|
reasoner/model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd4e7bd83dce60e68155e16506b1c47475f8bec02cc0f912967f096f90414c0e
|
| 3 |
+
size 4915184592
|
reasoner/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,722 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
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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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reasoner/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
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"longest_edge": 16777216,
|
| 4 |
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"shortest_edge": 65536
|
| 5 |
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},
|
| 6 |
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"patch_size": 16,
|
| 7 |
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"temporal_patch_size": 2,
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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0.5
|
| 13 |
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],
|
| 14 |
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"image_std": [
|
| 15 |
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0.5,
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"processor_class": "Qwen3VLProcessor",
|
| 20 |
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"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
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}
|
reasoner/processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
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"do_rescale": true,
|
| 6 |
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"do_resize": true,
|
| 7 |
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"image_mean": [
|
| 8 |
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0.5,
|
| 9 |
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|
| 10 |
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0.5
|
| 11 |
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],
|
| 12 |
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"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
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"image_std": [
|
| 14 |
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0.5,
|
| 15 |
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|
| 16 |
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0.5
|
| 17 |
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],
|
| 18 |
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"merge_size": 2,
|
| 19 |
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"patch_size": 16,
|
| 20 |
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"resample": 3,
|
| 21 |
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"rescale_factor": 0.00392156862745098,
|
| 22 |
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"size": {
|
| 23 |
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|
| 24 |
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|
| 25 |
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},
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| 26 |
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"temporal_patch_size": 2
|
| 27 |
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},
|
| 28 |
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"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
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"do_convert_rgb": true,
|
| 31 |
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"do_normalize": true,
|
| 32 |
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"do_rescale": true,
|
| 33 |
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"do_resize": true,
|
| 34 |
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"do_sample_frames": true,
|
| 35 |
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"fps": 2,
|
| 36 |
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|
| 37 |
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|
| 38 |
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0.5,
|
| 39 |
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0.5
|
| 40 |
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],
|
| 41 |
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"image_std": [
|
| 42 |
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|
| 43 |
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| 44 |
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|
| 45 |
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| 46 |
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|
| 47 |
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"merge_size": 2,
|
| 48 |
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"min_frames": 4,
|
| 49 |
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| 50 |
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| 51 |
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| 53 |
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"size": {
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"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
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}
|
| 60 |
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|
reasoner/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f479996a3ca6d735ec31c51da9743cb753f605125ae0774853002700fbd15c63
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| 3 |
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size 16061904
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reasoner/tokenizer_config.json
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tokenizer/model_config.json
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+
{
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"motion_tokenizer_config": {
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| 3 |
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"in_channels": 3,
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| 4 |
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"dim": 160,
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| 5 |
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"z_channels": 48,
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| 6 |
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"vae_arch": "wan2.2_vae38",
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"dim_mult": [
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| 8 |
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1,
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2,
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4,
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4
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],
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"num_res_blocks": 2,
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"attn_scales": [],
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+
"temperal_downsample": [
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false,
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true,
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true
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],
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"dropout": 0.0,
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| 21 |
+
"embedding_dim": 8,
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| 22 |
+
"quantizer": "fsq",
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| 23 |
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"levels": [
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| 24 |
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8,
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| 25 |
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5,
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5,
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5,
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| 28 |
+
5,
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| 29 |
+
5
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| 30 |
+
],
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| 31 |
+
"num_embeddings": null,
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| 32 |
+
"beta": 0.25,
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| 33 |
+
"persistent_quantizer": false,
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| 34 |
+
"act_embedding_num": 32,
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| 35 |
+
"qformer_type": "QFormerAdjacentFSingleQ",
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| 36 |
+
"qformer_depth": 2,
|
| 37 |
+
"qformer_num_heads": 4,
|
| 38 |
+
"connector_out_channels": 1024,
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| 39 |
+
"name": "WanMotionHybridTokenizer"
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| 40 |
+
},
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| 41 |
+
"cross_attention_dim": 3072,
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| 42 |
+
"projector_hidden_dim": 3072,
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| 43 |
+
"max_motion_tokens": null
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| 44 |
+
}
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tokenizer/tokenizer.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:567041a9504ad326aa067722d551e86af5238eb336c97eeb17ddd276461927c6
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| 3 |
+
size 496293796
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