# beach-fibo
## 模型介绍
本模型依托魔搭社区（ModelScope）AIGC专区[模型训练](https://modelscope.cn/aigc/modelTraining)环境与算力完成训练。
* 模型类型：LoRA
* 基础模型：[briaai/Fibo-2.0-dev](https://modelscope.cn/models/briaai/Fibo-2.0-dev)
* 训练代码：[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* 训练数据量：100
* 总训练步数：2000
* 开源协议：Apache-2.0
## 推理代码
安装 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)：
```bash
pip install diffsynth
```
开始推理：
```python
import torch
from diffsynth.pipelines.fibo import FiboPipeline, ModelConfig
pipe = FiboPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="transformer/*.safetensors"),
ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
processor_config=ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="processor/"),
font_config=ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="fonts/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="Devilworld/beach-fibo", origin_file_pattern="beach-fibo_c1-st2000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, height=1024, width=1024, seed=0, num_inference_steps=50, cfg_scale=5.0)
image.save("image.png")
```