controlnet-union-sdxl-1.0
- Use bucket training like novelai, can generate high resolutions images of any aspect ratio - Use large amount of high quality data(over 10000000 images), the dataset covers a diversity of situation - Use re-captioned prompt like DALLE.3, use CogVLM to generate detailed description, good prompt following ability - Use many useful tricks during training. Including but not limited to date augmentation, mutiple loss, m...
Params
1.3 B
Context
—
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daily snapshots · 55 days
▲ 7 K in the last 30 days (6.0%)
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f16 | 5.0 GB | 6.2 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 1.3 B
- Tensor type
- F16
- Licence
- apache-2.0
- First seen on the Hub
- 2024-07-07
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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