Instructions to use cptsl/DetailSlider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cptsl/DetailSlider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cptsl/DetailSlider") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DetailSlider

- Prompt
- -
Model description
Copy for tests
Original here: https://civitai.com/models/2234266/zit-detail-slider
Download model
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Model tree for cptsl/DetailSlider
Base model
Tongyi-MAI/Z-Image-Turbo