showlab/OmniConsistency
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How to use rsshekhawat/Qwen-Edit-3DChibi-LoRA with Diffusers:
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("rsshekhawat/Qwen-Edit-3DChibi-LoRA")
prompt = "Convert this image into 3D Chibi Style"
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]


This is a Low-Rank Adaptation (LoRA) checkpoint trained on the powerful Qwen-Image-Edit-2509 base model. It specializes in generating high-quality, highly detailed 3D Chibi Style images.
import torch
from diffusers import QwenImageEditPlusPipeline
from diffusers.utils import load_image
pipeline = QwenImageEditPlusPipeline.from_pretrained(
"Qwen/Qwen-Image-Edit-2509",
torch_dtype=torch.bfloat16
)
pipeline.load_lora_weights(
"rsshekhawat/Qwen-Edit-3DChibi-LoRA",
weight_name="qwen_3d_chibi_lora_v1_000000820.safetensors"
)
pipeline.enable_sequential_cpu_offload()
image = load_image("Image.png").convert("RGB")
generator = torch.Generator(device="cuda").manual_seed(42)
prompt = "Convert this image into 3D Chibi Style"
image = pipeline(
image=image,
prompt=prompt,
negative_prompt="",
height=1024,
width=1024,
num_inference_steps=25,
true_cfg_scale=5.0,
generator=generator
).images[0]
image.save("Edited_Image.png")
You should use 3D Chibi Style to trigger the image generation.
Download them in the Files & versions tab.
Base model
Qwen/Qwen-Image-Edit-2509