import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ostris/qwen_image_edit_cyclops")
prompt = "make this woman a cyclops"
image = pipe(prompt).images[0]Qwen Image Edit - Cyclops
- Prompt
- make this woman a cyclops
- Prompt
- make this woman a cyclops
- Prompt
- make this man a cyclops
- Prompt
- make this man a cyclops
- Prompt
- make this woman a cyclops
Model description
This LoRA will turn everyone a cyclops. This LoRA was trained while filming a tutorial Train a Qwen Image Edit LoRA with AI Toolkit. Check out that video for more info.
Trigger words
You should use make this person a cyclops to trigger the image generation.
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Base model
Qwen/Qwen-Image-Edit