qwen-image-lora

LORA Qwen-Image example

World first lora for Qwen-Image

Trigger word: Valentin

🧪 Usage

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🔧 Initialization

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

🔌 Load LoRA Weights

# Load LoRA weights
pipe.load_lora_weights('pytorch_lora_weights.safetensors', adapter_name="lora")

🎨 Generate Image with lora trained on person

prompt = '''Valentin in a natural daylight selfie at a cafe entrance. He looks seriously into the camera, wearing a black coat or jacket and wireless earbud. Background includes wooden frames, warm pendant lights, and urban cafe details. With text "FLYMY AI"'''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(346346)
)

# Display the image (in Jupyter or save to file)
image.show()
# or
image.save("output.png")

🖼️ Sample Output

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license: apache-2.0