🤖 any-to-any

Janus-Pro-1B

deepseek-community/Janus-Pro-1B

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Tags
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transformers
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Model Details
Full Model IDdeepseek-community/Janus-Pro-1B
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)111.2K
Likes14
Last Modified3/18/2026
Author / Orgdeepseek-community
PrivateNo � public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("any-to-any", model="deepseek-community/Janus-Pro-1B")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
transformerssafetensorsjanusimage-text-to-textmuiltimodaltext-to-imageunified-modelany-to-anyarxiv:2501.17811license:mitendpoints_compatibleregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗�� Browse All Models
🤖 Task: any-to-any

This model is designed for the any-to-any task. Explore more models for this use case.

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📊 Popularity
Downloads111.2K
����� Community Likes14
🛠�� Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
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