Instructions to use tarn59/character_turnaround_sheet_qwen_edit_2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarn59/character_turnaround_sheet_qwen_edit_2511 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tarn59/character_turnaround_sheet_qwen_edit_2511") prompt = "Character turnaround sheet" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Character turnaround sheet

- Prompt
- 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 or 3000x1080.
For Qwen 2511 it seems the output characters are always narrower than they should be. I find if you resize the output horizontally by an increase of 20% it works better. I trained the model multiple times but Qwen 2511 always produced narrow characters.
Trigger words
You should use Character turnaround sheet to trigger the image generation.
Download model
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