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("WarmBloodAban/Any2Qcartoon")
prompt = "convert to q-version cartoon figurine style"
image = pipe(prompt).images[0]Any2Qcartoon
- Prompt
- convert to q-version cartoon figurine style
Model description
QcartoonV1: Universal IP Chibi Stylization LoRA This LoRA is designed for Q-version (Chibi Style) character transformation. Based on the Qwen-Image-Edit-2511 base model, it enables a high-precision "One-Click Q-ification" for any IP character, ranging from realistic photography to complex anime styles.
Model Description The model utilizes a Contrastive Pair (Start-End Logic) training strategy. Unlike standard Text-to-Image models, QcartoonV1 focuses on structural reshaping—transforming original body proportions into a coordinated Chibi head-to-body ratio while perfectly preserving core features such as:
Color Palettes
Signature Accessories (hats, backpacks, etc.)
Character Expressions
Technical Specs Base Model: Qwen-Image-Edit-2511
Training Set: 65 high-precision contrastive pairs (130 images)
Network Rank (Dim): 32
Optimizer: AdamW
Resolution: 1024 x 1024
How to use Trigger Word: convert to q-version cartoon figurine style
Recommended Weight: 1.0 (for best morphological reshaping)
Input: Provide an image of a character or animal + the trigger prompt.
Applications Ideal for IP derivative design, toy/merchandise prototyping, and creative game assets.
If you have questions, feedback, or want to collaborate on AI video workflows, feel free to reach out: 商务合作WeChat (微信): aigctyd QQ Group (QQ社群): 1058747239 Email: a592991299@gmail.com
Trigger words
You should use convert to q-version cartoon figurine style to trigger the image generation.
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Model tree for WarmBloodAban/Any2Qcartoon
Base model
Qwen/Qwen-Image-Edit-2511