mv-adapter
Create High-fidelity Multi-view Images with Various Base T2I Models and Various Conditions.
Params
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Context
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Downloads 30d
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Download history
daily snapshots · 10 days30 K30 K
Jul 28Jul 31Aug 3Aug 6
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 | fp16 | 20.8 GB | 23.4 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2024-11-29
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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