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Ree Liu
2025-07-04 13:20:19 +08:00
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README.md
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@@ -44,20 +44,17 @@ If you need local cloth simulation and 3‑D visualization, follow the installat
`Design2GarmentCode` communicates with large multimodal models.
Follow the steps **in the given order**:
1. **Provide API credentials**
- **Environment variable (recommended)** – defaults to *ChatGPT‑4o*
#### 1. **Provide API credentials for MMUA**
- **Environment variable (recommended)** – defaults to *ChatGPT‑4o*
```bash
export OPENAI_API_KEY="sk‑..."
```
- **Edit `system.json`** (project root) – manually specify `api_key`, `base_url`, and `model` if you prefer a file‑based approach.
2. **Download the required models**:
- First, download the base model [Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct/tree/main).
Place the entire folder at:
`lmm_utils/Qwen/Qwen2-VL-2B-Instruct/`
- **Edit `system.json`** (project root) – manually specify `api_key`, `base_url`, and `model` if you prefer a file‑based approach.
- Next, download the fine-tuned weights file [model.pth](lmm_utils/Qwen/qwen2vl_lora_mlp/model.pth),
and place it in:
`lmm_utils/Qwen/qwen2vl_lora_mlp/`
#### 2. **Set up the parameter projector**:
- Download the base model [Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct/tree/main) and place the modal to `lmm_utils/Qwen/Qwen2-VL-2B-Instruct/`.
- Download the fine-tuned weights file [model.pth](lmm_utils/Qwen/qwen2vl_lora_mlp/model.pth), and place it in `lmm_utils/Qwen/qwen2vl_lora_mlp/`.
---
## Testing with GUI