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
Download qwen_image_detail_slider.safetensors from ostris/qwen_image_detail_slider: direct link, hf CLI and curl.
- Browser
- Download file 74 MB
-
https://huggingface.co/ostris/qwen_image_detail_slider/resolve/main/qwen_image_detail_slider.safetensors
- Command line
-
hf download hf://ostris/qwen_image_detail_slider/qwen_image_detail_slider.safetensors
-
curl -L -o qwen_image_detail_slider.safetensors https://huggingface.co/ostris/qwen_image_detail_slider/resolve/main/qwen_image_detail_slider.safetensors
74 MB
- Xet hash:
- f07e196c35824c32385c928f50922ad186d44037c47e107d53dd5ede79de67a3
- Size of remote file:
- 74 MB
- SHA256:
- 3449b8a4a07bd408a50f39002ca8146a3e2a3b8030b1bccb6251626fc329fdb3
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