How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AH123123/QWEN_Image_Edit_2511", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("LiveBetween2Buses/boots-correction-lora-final")

prompt = "b00tx"
image = pipe(prompt).images[0]

Qwen Image Edit 2511 LoRA

Prompt
b00tx
Prompt
b00tx

Trigger words

You should use b00tx to trigger the image generation.

Download model

Download them in the Files & versions tab.

Downloads last month
17
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for LiveBetween2Buses/boots-correction-lora-final

Base model

Qwen/Qwen-Image
Adapter
(1)
this model