Qwen-Image-2.1 Effects — Image-to-Image LoRAs
Collection
A collection of effect filter LoRAs for Qwen-Image-2.1 models! • 5 items • Updated • 1
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-2.1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("prithivMLmods/Qwen-Image-2.1-Voxel-Style")
prompt = "Turn this cat into a dog"
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]
Qwen-Image-2.1-Voxel-Style
Qwen-Image-2.1-Voxel-Style is a LoRA adapter for Qwen-Image-2.1, designed to transform input images into a distinctive voxel-art style with block-based geometry, simplified forms, low-resolution 3D structures, and a stylized digital aesthetic. The adapter converts subjects, objects, and environments into voxel-inspired compositions while retaining recognizable features, colors, spatial relationships, and important visual elements from the original image. It can be used to create voxel-style characters, objects, environments, illustrations, and scenes from a wide range of input images.
This is an experimental preview model. Results may vary depending on the input image, subject, composition, and visual complexity.
Download
Download the model files from the Files & versions tab:
Download Qwen-Image-2.1-Voxel-Style
Usage
Load the LoRA adapter with Qwen-Image-2.1 and provide an input image.
Use the trigger prompt:
Transform the image into a voxel style
For best results, use input images with clearly defined subjects, objects, and environments. The adapter can be applied to photographs, illustrations, characters, objects, and other visual compositions.
Base Model
This adapter is designed for:
License
Please refer to the license terms of the base model, Qwen-Image-2.1, and ensure compliance with its terms when using or redistributing this adapter.
Acknowledgements
This adapter was created by prithivMLmods and is built for use with Qwen-Image-2.1.
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Base model
Qwen/Qwen-Image-2.1