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
Image-to-Image
Diffusers
English
lora
vivid
neon
magenta
glowing
retro-futuristic
1980s
Synthwave
Noir
Duotone
Cyber-Goth
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-Outrun")
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-Outrun
Qwen-Image-2.1-Outrun is a LoRA adapter for Qwen-Image-2.1, designed to transform input images into an Outrun / Synthwave aesthetic with vivid neon colors, magenta and cyan lighting, retro-futuristic visual elements, dramatic contrast, glowing highlights, and a cinematic 1980s-inspired atmosphere. Within the Outrun / Synthwave aesthetic, this specific image style is Neon Noir Portraiture, often called Synthwave Duotone Photography or Cyber-Goth Editorial. The adapter can be used to create stylized portraits, characters, environments, vehicles, landscapes, and other compositions with a distinctive neon-soaked retro-futuristic appearance.
This is an experimental preview model. Results may vary depending on the input image, subject, composition, lighting, and visual complexity.
Download
Download the model files from the Files & versions tab:
Download Qwen-Image-2.1-Outrun
Usage
Load the LoRA adapter with Qwen-Image-2.1 and provide an input image.
Use the trigger prompt:
Transform the image into an outrun theme
For best results, use input images with clearly defined subjects, strong silhouettes, and visible environmental or lighting details.
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