Image-to-Image
Diffusers
lora
template:diffusion-lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("tarn59/character_turnaround_sheet_qwen_image_edit_2509")

prompt = "Character turnaround sheet"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")

image = pipe(image=input_image, prompt=prompt).images[0]

Character Turnaround Sheet

Prompt
Character turnaround sheet
Prompt
Character turnaround sheet

Model description

Help see your character from multiple angles. Qwen Image Edit is pretty good at rotations by itself. This Lora just produces a composited image of character from multiple angles. Recommended: input resolution 600x1080, output resolution 2600x1080

Trigger words

You should use Character turnaround sheet to trigger the image generation.

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Dataset used to train tarn59/character_turnaround_sheet_qwen_image_edit_2509