File size: 889 Bytes
3c11df8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | from diffsynth.pipelines.krea2 import Krea2Pipeline, ModelConfig
import torch
pipe = Krea2Pipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
# For LoRA models trained on Krea-2-Raw, we recommend using them on Krea-2-Turbo.
ModelConfig(model_id="krea/Krea-2-Raw", origin_file_pattern="raw.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, './models/train/Krea-2-Raw_split/epoch-4.safetensors')
prompt = "A dog"
image = pipe(prompt, seed=0, num_inference_steps=52, cfg_scale=4.5)
image.save('split_training_Krea-2-Raw.jpg')
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