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 Settings
- Draw Things
- DiffusionBee
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Browse files
images/_mnt_Train2_out_ui_qwen_image_detail_slider_samples_1758128339512__000000450_3.jpg
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qwen_image_detail_slider.safetensors
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version https://git-lfs.github.com/spec/v1
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size 73957936
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