---
title: There_Will_Be_Bloom
canonical_url: "https://www.modelscope.cn/models/peteromallet/There_Will_Be_Bloom"
md_url: "https://www.modelscope.cn/models/peteromallet/There_Will_Be_Bloom.md"
repository: peteromallet/There_Will_Be_Bloom
last_updated: 2025-09-01
parameters: 359.1M
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 148
stars: 0
---

# There_Will_Be_Bloom

> There_Will_Be_Bloom - peteromallet 在 ModelScope 开源的模型。Trained on Wan 14b img2vid.

- **Repository**: peteromallet/There_Will_Be_Bloom
- **Parameters**: 359.1M
- **Downloads**: 148
- **Stars**: 0
- **Last updated**: 2025-09-01

Source: https://www.modelscope.cn/models/peteromallet/There_Will_Be_Bloom

---

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/630ce996b66f088d547a25cd/bmTtGA9mrfGexJlCtEZ71.mp4"></video>

Trained on Wan 14b img2vid.

6000 steps at 0.00004 LR, 64 LoRA Rank. Will share data if anyone's interested.

To prompt, use the trigger word 'timlapsiagro' and a prompt structure like this: 

> timlapsiagro, Timelapse of a {what's growing} growing. {camera angle}.