rh-framerush-v2-lora is an open-weight model from RunningHub.ai. Its published files total 77.4 MB.
This repository provides rh-framerush-v2-lora weight files. You can load them on RunningHub. Published by RunningHub on behalf of the author. Copyright remains with the author. Follow the original project or upstream license.
Model Card
This repository provides rh-framerush-v2-lora weight files. You can load them on RunningHub. Published by RunningHub on behalf of the author. Copyright remains with the author. Follow the original project or upstream license. Run Seedance 2.5 with RunningHub API: https://www.runninghub.ai/call-api/api-detail/2133100000000700025 - RunningHub：https://www.runninghub.ai - RunningHub 中国站：https://www.runninghub.cn - RunningHub API 文档：https://www.runninghub.cn/runninghub-api-doc-cn/ - RunningHub API Documentation：https://www.runninghub.cn/runninghub-api-doc-en/
Excerpt from the card by RunningHub.ai.
Identity and Version
- Repository
- RunningHubAI/rh-framerush-v2-lora
- Publisher
- RunningHub.ai
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 6aaafbaccee564ac3e2ac7034b50d9eaf4b20d33
- First published
- 2026-09-25
- Last updated
- 2026-09-25
Files and Weights
5 files, 77.4 MB in total. The weights are 1 file totalling 74.6 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| FrameRush-Minimax-V2_c2-st1500.safetensors | Weights | 74.6 MB | 7b7ca90a9ce9 |
| README.md | Documentation | 2.7 KB | — |
| README_cn.md | Documentation | 2.7 KB | — |
| poster.png | Other | 2.8 MB | b1e78f407807 |
| .gitattributes | Repository | 1.6 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 74.6 MB
Released by RunningHub.ai through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 74.6 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.