qwen-image-realism-lora / README.md

ariG23498 HF Staff

Adding `diffusers` as the library tag.

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metadata

license: apache-2.0
language:
  - en
base_model:
  - Qwen/Qwen-Image
pipeline_tag: text-to-image
tags:
  - lora
  - qwen
  - qwen-image
  - realism
  - realism-lora
library_name: diffusers

LORA Qwen-Image example

Lora for Qwen-Image

No trigger word required

🧪 Usage

🔧 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('flymy_realism.safetensors', adapter_name="lora")

🎨 Generate Image with lora trained on person

prompt = '''Super Realism portrait of a teenager woman of African descent, serene calmness, arms crossed, illuminated by dramatic studio lighting, sunlit park in the background, adorned with delicate jewelry, three-quarter view, sun-kissed skin with natural imperfections, loose shoulder-length curls, slightly squinting eyes, environmental street portrait with text "FLYMY AI" on t-shirt.'''
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

🎛️ Using with ComfyUI

We provide a ready-to-use ComfyUI workflow that works with our trained LoRA models. Follow these steps to set up and use the workflow:

Setup Instructions

Download the latest ComfyUI:
- Visit the ComfyUI GitHub repository
- Clone or download the latest version
Install ComfyUI:
- Follow the installation instructions from the ComfyUI repository
- Make sure all dependencies are properly installed
Download Qwen-Image model weights:
- Go to Qwen-Image ComfyUI weights
- Download all the model files
Place Qwen-Image weights in ComfyUI:
- Copy the downloaded Qwen-Image model files to the appropriate folders in ComfyUI/models/
- Follow the folder structure as specified in the model repository
Download our pre-trained LoRA weights:
- Visit flymy-ai/qwen-image-lora
- Download the LoRA .safetensors files
Place LoRA weights in ComfyUI:
- Copy the LoRA file flymy-ai/qwen-image-lora/pytorch_lora_weights.safetensors to ComfyUI/models/loras/
Load the workflow:
- Open ComfyUI in your browser
- Load the workflow file qwen_image_lora_example.json located in this repository
- The workflow is pre-configured to work with our LoRA models

Workflow Features

✅ Pre-configured for Qwen-Image + LoRA inference
✅ Optimized settings for best quality output
✅ Easy prompt and parameter adjustment
✅ Compatible with all our trained LoRA models

The ComfyUI workflow provides a user-friendly interface for generating images with our trained LoRA models without needing to write Python code.

flymy-ai
/

qwen-image-realism-lora