9baMelo

## Model Description

This model was trained with the ModelScope AIGC Zone training environment and compute resources.

Model type: LoRA
Base model: krea-community/Krea-2-Turbo
Training code: DiffSynth-Studio
Total training steps: 6000
License: CC BY-NC-SA 4.0

The weight files c1-st1000 ~ c1-st6000 correspond to different training steps. c1-st4000 is recommended.

A LoRA weight of 0.8 is recommended; 1.0 tends to overfit.

## Inference

Install DiffSynth-Studio:

```bash
pip install diffsynth
```

Run inference:

```python
from diffsynth.pipelines.krea2 import Krea2Pipeline, ModelConfig
import torch

pipe = Krea2Pipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="krea-community/Krea-2-Turbo", origin_file_pattern="turbo.safetensors"),
        ModelConfig(model_id="Qwen/Qwen3-VL-4B-Instruct", origin_file_pattern="*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="Qwen/Qwen3-VL-4B-Instruct", origin_file_pattern=""),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="toko279/9baMelo", origin_file_pattern="9baMelo_c1-st4000.safetensors"))
prompt = "a cat"
image = pipe(
    prompt, seed=0,
    num_inference_steps=8, cfg_scale=1, mu=1.15,
)
image.save("image.jpg")
```

## Notice

Krea 2 is licensed under the Krea 2 Community License Agreement. For more information, visit https://krea.ai/krea-2-licensing.

This model is a derivative model fine-tuned from Krea 2 Turbo.


9baMelo

9baMelo_c1-st3000.safetensors

c1-st3000

Files with SHA256: 8a86bc1cf87d65c3297fe871698ac3ea7932792e3ddca6c666dc169e5f7b7d61