Photogen Models

All model weights for Photogen — a StoryMaker-based character-consistent image generation pipeline.

Files

StoryMaker Adapter (mask.bin)

The main character adapter weights, originally from RED-AIGC/StoryMaker.

  • File: mask.bin (3.32 GB)
  • Usage: Load via pipe.load_character_adapter()

InsightFace Face Encoder (buffalo_l/)

Face detection and recognition models for identity preservation.

File Size Description
det_10g.onnx 16.9 MB Face detection model
w600k_r50.onnx 174 MB Face recognition model
2d106det.onnx 5.0 MB 2D landmark detection
1k3d68.onnx 144 MB 3D face landmarks
genderage.onnx 1.3 MB Age and gender estimation

Extract into models/buffalo_l/ for use with InsightFace.

Trained Checkpoints

Custom character adapter weights trained on custom portrait data.

Checkpoint Size Description
checkpoint-50/mask.bin 641 MB Early training (50 steps)
checkpoint-100/mask.bin 641 MB Medium training (100 steps)
checkpoint-150/mask.bin 641 MB Recommended (150 steps)
checkpoint-200/mask.bin 641 MB Extended training (200 steps)

Download

# Install huggingface-cli if needed
pip install huggingface-hub

# Download everything
huggingface-cli download DeathAngel00/Photogen-checkpoints --local-dir . --local-dir-use-symlinks False

# Or download individual files
huggingface-cli download DeathAngel00/Photogen-checkpoints mask.bin --local-dir checkpoints
huggingface-cli download DeathAngel00/Photogen-checkpoints checkpoint-150/mask.bin --local-dir output_sd15
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