Instructions to use Shero448/age with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/age with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/ilustrealmix-v20-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/age") prompt = "UNICODE\u0000\u0000m\u0000i\u0000t\u0000s\u0000u\u0000a\u0000r\u0000t\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000N\u0000o\u0000-\u0000L\u0000o\u0000R\u0000A\u0000,\u0000 \u0000(\u0000t\u0000h\u0000r\u0000e\u0000e\u0000 \u0000q\u0000u\u0000a\u0000r\u0000t\u0000e\u0000r\u0000 \u0000v\u0000i\u0000e\u0000w\u0000)\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000p\u0000o\u0000n\u0000c\u0000h\u0000o\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000d\u0000o\u0000w\u0000n\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000a\u0000d\u0000,\u0000 \u0000w\u0000o\u0000r\u0000r\u0000i\u0000e\u0000d\u0000,\u0000 \u0000n\u0000e\u0000r\u0000v\u0000o\u0000u\u0000s\u0000,\u0000 \u0000c\u0000o\u0000w\u0000b\u0000o\u0000y\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000[\u0000s\u0000h\u0000a\u0000d\u0000e\u0000d\u0000 \u0000f\u0000a\u0000c\u0000e\u0000]\u0000,\u0000 \u0000d\u0000i\u0000l\u0000a\u0000p\u0000i\u0000d\u0000a\u0000t\u0000e\u0000d\u0000 \u0000c\u0000i\u0000t\u0000y\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000p\u0000o\u0000s\u0000t\u0000-\u0000a\u0000p\u0000o\u0000c\u0000a\u0000l\u0000y\u0000p\u0000s\u0000e\u0000,\u0000 \u0000r\u0000o\u0000o\u0000f\u0000t\u0000o\u0000p\u0000,\u0000 \u0000(\u0000s\u0000k\u0000y\u0000s\u0000c\u0000r\u0000a\u0000p\u0000e\u0000r\u0000)\u0000,\u0000 \u0000r\u0000u\u0000i\u0000n\u0000s\u0000,\u0000 \u0000o\u0000v\u0000e\u0000r\u0000c\u0000a\u0000s\u0000t\u0000,\u0000 \u0000r\u0000a\u0000i\u0000n\u0000,\u0000 \u0000c\u0000l\u0000o\u0000u\u0000d\u0000y\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000r\u0000y\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000M\u0000i\u0000t\u0000s\u0000u\u0000A\u0000r\u0000t\u0000X\u0000L\u0000:\u00000\u0000.\u00006\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: "UNICODE\0\0m\0i\0t\0s\0u\0a\0r\0t\0s\0t\0y\0l\0e\0,\0 \0N\0o\0-\0L\0o\0R\0A\0,\0 \0(\0t\0h\0r\0e\0e\0 \0q\0u\0a\0r\0t\0e\0r\0 \0v\0i\0e\0w\0)\0,\0 \01\0g\0i\0r\0l\0,\0 \0w\0h\0i\0t\0e\0 \0p\0o\0n\0c\0h\0o\0,\0 \0f\0e\0m\0a\0l\0e\0 \0f\0o\0c\0u\0s\0,\0 \0l\0o\0o\0k\0i\0n\0g\0 \0d\0o\0w\0n\0,\0 \0b\0l\0a\0c\0k\0 \0h\0a\0i\0r\0,\0 \0l\0o\0n\0g\0 \0h\0a\0i\0r\0,\0 \0s\0a\0d\0,\0 \0w\0o\0r\0r\0i\0e\0d\0,\0 \0n\0e\0r\0v\0o\0u\0s\0,\0 \0c\0o\0w\0b\0o\0y\0 \0s\0h\0o\0t\0,\0 \0s\0t\0a\0n\0d\0i\0n\0g\0,\0 \0[\0s\0h\0a\0d\0e\0d\0 \0f\0a\0c\0e\0]\0,\0 \0d\0i\0l\0a\0p\0i\0d\0a\0t\0e\0d\0 \0c\0i\0t\0y\0s\0c\0a\0p\0e\0,\0 \0p\0o\0s\0t\0-\0a\0p\0o\0c\0a\0l\0y\0p\0s\0e\0,\0 \0r\0o\0o\0f\0t\0o\0p\0,\0 \0(\0s\0k\0y\0s\0c\0r\0a\0p\0e\0r\0)\0,\0 \0r\0u\0i\0n\0s\0,\0 \0o\0v\0e\0r\0c\0a\0s\0t\0,\0 \0r\0a\0i\0n\0,\0 \0c\0l\0o\0u\0d\0y\0 \0s\0k\0y\0,\0 \0s\0c\0e\0n\0e\0r\0y\0,\0 \0<\0l\0o\0r\0a\0:\0M\0i\0t\0s\0u\0A\0r\0t\0X\0L\0:\00\0.\06\0>\0" | |
| output: | |
| url: images/xyz_grid-0025-3783791054.jpeg | |
| base_model: John6666/ilustrealmix-v20-sdxl | |
| instance_prompt: age | |
| # age | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `age` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Shero448/age/tree/main) them in the Files & versions tab. | |