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README.md
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README.md
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# Janus-Pro-7B
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---
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license: mit
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license_name: deepseek
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license_link: LICENSE
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pipeline_tag: any-to-any
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library_name: transformers
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tags:
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- muiltimodal
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- text-to-image
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- unified-model
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---
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Janus-Pro-7B
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## 1. Introduction
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Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation.
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It addresses the limitations of previous approaches by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupling not only alleviates the conflict between the visual encoder’s roles in understanding and generation, but also enhances the framework’s flexibility.
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Janus-Pro surpasses previous unified model and matches or exceeds the performance of task-specific models.
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The simplicity, high flexibility, and effectiveness of Janus-Pro make it a strong candidate for next-generation unified multimodal models.
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[**Github Repository**](https://github.com/deepseek-ai/Janus)
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<div align="center">
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<img alt="image" src="janus_pro_teaser1.png" style="width:90%;">
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</div>
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<div align="center">
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<img alt="image" src="janus_pro_teaser2.png" style="width:90%;">
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</div>
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### 2. Model Summary
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Janus-Pro is a unified understanding and generation MLLM, which decouples visual encoding for multimodal understanding and generation.
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Janus-Pro is constructed based on the DeepSeek-LLM-1.5b-base/DeepSeek-LLM-7b-base.
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For multimodal understanding, it uses the [SigLIP-L](https://huggingface.co/timm/ViT-L-16-SigLIP-384) as the vision encoder, which supports 384 x 384 image input. For image generation, Janus-Pro uses the tokenizer from [here](https://github.com/FoundationVision/LlamaGen) with a downsample rate of 16.
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## 3. Quick Start
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Please refer to [**Github Repository**](https://github.com/deepseek-ai/Janus)
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## 4. License
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This code repository is licensed under [the MIT License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-CODE). The use of Janus-Pro models is subject to [DeepSeek Model License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-MODEL).
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## 5. Citation
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```
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@article{chen2025janus,
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title={Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling},
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author={Chen, Xiaokang and Wu, Zhiyu and Liu, Xingchao and Pan, Zizheng and Liu, Wen and Xie, Zhenda and Yu, Xingkai and Ruan, Chong},
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journal={arXiv preprint arXiv:2501.17811},
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year={2025}
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}
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```
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## 6. Contact
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).
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{
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"aligner_config": {
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"cls": "MlpProjector",
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"model_type": "aligner",
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"params": {
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"depth": 2,
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"input_dim": 1024,
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"n_embed": 4096,
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"projector_type": "mlp_gelu"
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}
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},
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"gen_aligner_config": {
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"cls": "MlpProjector",
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"model_type": "gen_aligner",
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"params": {
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"depth": 2,
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"input_dim": 8,
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"n_embed": 4096,
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"projector_type": "mlp_gelu"
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}
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},
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"gen_head_config": {
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"cls": "vision_head",
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"model_type": "gen_head",
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"params": {
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"image_token_embed": 4096,
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"image_token_size": 16384,
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"n_embed": 4096
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}
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},
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"gen_vision_config": {
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"cls": "VQ-16",
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"model_type": "gen_vision",
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"params": {
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"image_token_size": 16384,
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"n_embed": 8
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}
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},
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"language_config": {
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_hidden_layers": 30,
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"torch_dtype": "bfloat16",
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"vocab_size": 102400
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},
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"model_type": "multi_modality",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.33.1",
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"vision_config": {
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"cls": "CLIPVisionTower",
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"model_type": "vision",
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"params": {
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"image_size": 384,
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"model_name": "siglip_large_patch16_384",
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"select_feature": "same",
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"select_layer": -1
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}
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}
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}
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"do_normalize": true,
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"image_mean": [
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"image_processor_type": "VLMImageProcessor",
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"image_size": 384,
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"image_std": [
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"min_size": 14,
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"processor_class": "VLChatProcessor",
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"rescale_factor": 0.00392156862745098
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{
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"add_special_token": false,
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"ignore_id": -100,
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"image_tag": "<image_placeholder>",
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"mask_prompt": true,
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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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|
||||||
|
"vision_model.vision_tower.pos_embed": "pytorch_model-00001-of-00002.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -0,0 +1,16 @@
|
||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<image_placeholder>",
|
||||||
|
"<patch_placeholder>",
|
||||||
|
"<|ref|>",
|
||||||
|
"<|/ref|>",
|
||||||
|
"<|det|>",
|
||||||
|
"<|/det|>",
|
||||||
|
"<|grounding|>",
|
||||||
|
"<|User|>",
|
||||||
|
"<|Assistant|>"
|
||||||
|
],
|
||||||
|
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||||
|
"eos_token": "<｜end▁of▁sentence｜>",
|
||||||
|
"pad_token": "<｜▁pad▁｜>"
|
||||||
|
}
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,10 @@
|
||||||
|
{
|
||||||
|
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<｜end▁of▁sentence｜>",
|
||||||
|
"model_max_length": 16384,
|
||||||
|
"pad_token": null,
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": null,
|
||||||
|
"use_default_system_prompt": true
|
||||||
|
}
|
||||||
Loading…
Reference in New Issue