Instructions to use ImagineLabs/incase-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImagineLabs/incase-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ImagineLabs/incase-style") prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/00460-241695097.webp | |
| text: "UNICODE\0\01\0g\0i\0r\0l\0,\0 \0f\0e\0m\0a\0l\0e\0,\0 \0s\0o\0l\0o\0,\0 \0p\0o\0r\0t\0r\0a\0i\0t\0,\0 \0f\0e\0m\0a\0l\0e\0 \0f\0o\0c\0u\0s\0,\0" | |
| base_model: LyliaEngine/Pony_Diffusion_V6_XL | |
| instance_prompt: null | |
| # Incase Style | |
| <Gallery /> | |
| ## Download model | |
| [Download](/ImagineLabs/incase-style/tree/main) them in the Files & versions tab. | |