Instructions to use ostris/qwen_image_detail_slider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/qwen_image_detail_slider 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/qwen_image_detail_slider") prompt = "a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Qwen Image - Detail Slider

- Prompt
- a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini
Model description
This LoRA allows you to adjust the level of detail in an image by adjusting the strength. You can use -1.0 to 1.0 to reduce or increase the amount of detail added to the image. . This LoRA was trained while filming a tutorial Train a Concept Slider LoRA with AI Toolkit. Check out that video for more info.
Download model
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Base model
Qwen/Qwen-Image