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
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support