---
title: UltraGen-train
canonical_url: "https://www.modelscope.cn/models/yansongwei/UltraGen-train"
md_url: "https://www.modelscope.cn/models/yansongwei/UltraGen-train.md"
repository: yansongwei/UltraGen-train
last_updated: 2026-08-17
pipeline_tag: text-generation
tasks:
  - text-generation
parameters: 1.1B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 61
stars: 0
---

# UltraGen-train

> UltraGen-train - yansongwei 在 ModelScope 开源的模型。LoRA checkpoints fine-tuned for accident-oriented video generation and editing. The checkpoints contain adapter weights only; the Wan2.1-T2V-1.3B base model, text encoder, and VAE are not included.

- **Repository**: yansongwei/UltraGen-train
- **Tasks**: text-generation
- **Parameters**: 1.1B
- **Downloads**: 61
- **Stars**: 0
- **Last updated**: 2026-08-17

Source: https://www.modelscope.cn/models/yansongwei/UltraGen-train

---

# UltraGen CAP LoRA

LoRA checkpoints fine-tuned for accident-oriented video generation and
editing. The checkpoints contain adapter weights only; the Wan2.1-T2V-1.3B
base model, text encoder, and VAE are not included.

## Training configuration

- Base model: Wan2.1-T2V-1.3B
- Training task: supervised fine-tuning (SFT)
- LoRA base module: DiT
- LoRA rank: 32
- Target modules: `q`, `k`, `v`, `o`, `ffn.0`, `ffn.2`
- Learning rate: 1e-4
- Weight decay: 0.01
- Epochs: 5
- Gradient accumulation steps: 1
- Training resolution: 1280 x 704
- Frames per training clip: 33
- Checkpoint interval: 500 steps

## Checkpoints

The `checkpoints/` directory contains checkpoints from `step-500` through
`step-13000`. Each checkpoint is a valid BF16 safetensors file containing 600
tensors and 43,745,280 LoRA parameters. `step-13000.safetensors` is the final
checkpoint.

The matching Wan2.1-T2V-1.3B base model is required for inference.