Instructions to use Shero448/erza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/erza 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/prefect-pony-xl-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/erza") prompt = "UNICODE\u0000\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000_\u0000a\u0000n\u0000i\u0000m\u0000e\u0000,\u0000 \u0000e\u0000r\u0000z\u0000a\u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000e\u0000r\u0000z\u0000a\u0000-\u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000-\u0000p\u0000o\u0000n\u0000y\u0000x\u0000l\u0000-\u0000l\u0000o\u0000r\u0000a\u0000-\u0000n\u0000o\u0000c\u0000h\u0000e\u0000k\u0000a\u0000i\u0000s\u0000e\u0000r\u0000:\u00001\u0000>\u0000 \u0000e\u0000r\u0000z\u0000a\u0000 \u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000i\u0000g\u0000_\u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000t\u0000i\u0000t\u0000s\u0000 \u0000c\u0000o\u0000m\u0000e\u0000 \u0000o\u0000u\u0000t\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000r\u0000e\u0000d\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000e\u0000x\u0000y\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000l\u0000a\u0000t\u0000e\u0000x\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000j\u0000e\u0000w\u0000e\u0000l\u0000r\u0000y\u0000 \u0000(\u0000r\u0000i\u0000n\u0000g\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000)\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000s\u0000m\u0000i\u0000r\u0000k\u0000,\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000a\u0000n\u0000g\u0000l\u0000e\u0000,\u0000 \u0000d\u0000r\u0000a\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000s\u0000,\u0000 \u0000p\u0000o\u0000r\u0000n\u0000,\u0000 \u0000h\u0000a\u0000l\u0000f\u0000 \u0000n\u0000a\u0000k\u0000e\u0000d\u0000,\u0000 \u0000s\u0000a\u0000u\u0000n\u0000a\u0000,\u0000 \u0000w\u0000e\u0000t\u0000,\u0000 \u0000b\u0000o\u0000o\u0000b\u0000s\u0000 \u0000a\u0000g\u0000a\u0000i\u0000n\u0000s\u0000t\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000t\u0000i\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\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\0 \0s\0c\0o\0r\0e\0_\09\0,\0 \0s\0c\0o\0r\0e\0_\08\0_\0u\0p\0,\0 \0s\0c\0o\0r\0e\0_\07\0_\0u\0p\0,\0 \0s\0o\0u\0r\0c\0e\0_\0a\0n\0i\0m\0e\0,\0 \0e\0r\0z\0a\0s\0c\0a\0r\0l\0e\0t\0,\0 \0<\0l\0o\0r\0a\0:\0e\0r\0z\0a\0-\0s\0c\0a\0r\0l\0e\0t\0-\0p\0o\0n\0y\0x\0l\0-\0l\0o\0r\0a\0-\0n\0o\0c\0h\0e\0k\0a\0i\0s\0e\0r\0:\01\0>\0 \0e\0r\0z\0a\0 \0s\0c\0a\0r\0l\0e\0t\0,\0 \0l\0o\0n\0g\0 \0h\0a\0i\0r\0,\0 \0r\0e\0d\0 \0h\0a\0i\0r\0,\0 \0h\0a\0i\0r\0 \0b\0e\0t\0w\0e\0e\0n\0 \0e\0y\0e\0s\0,\0 \0b\0r\0o\0w\0n\0 \0e\0y\0e\0s\0,\0 \01\0g\0i\0r\0l\0,\0 \0b\0i\0g\0_\0b\0r\0e\0a\0s\0t\0s\0,\0 \0t\0i\0t\0s\0 \0c\0o\0m\0e\0 \0o\0u\0t\0 \0o\0f\0 \0t\0h\0e\0 \0d\0r\0e\0s\0s\0,\0 \0b\0r\0o\0w\0n\0_\0e\0y\0e\0s\0,\0 \0r\0e\0d\0_\0h\0a\0i\0r\0,\0 \0s\0e\0x\0y\0 \0b\0l\0u\0e\0 \0l\0a\0t\0e\0x\0 \0b\0i\0k\0i\0n\0i\0,\0 \0j\0e\0w\0e\0l\0r\0y\0 \0(\0r\0i\0n\0g\0s\0 \0a\0n\0d\0 \0e\0a\0r\0r\0i\0n\0g\0s\0)\0 \0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0v\0i\0e\0w\0e\0r\0,\0 \0s\0m\0i\0r\0k\0,\0 \0d\0y\0n\0a\0m\0i\0c\0 \0a\0n\0g\0l\0e\0,\0 \0d\0r\0a\0m\0a\0t\0i\0c\0 \0l\0i\0g\0h\0t\0s\0,\0 \0p\0o\0r\0n\0,\0 \0h\0a\0l\0f\0 \0n\0a\0k\0e\0d\0,\0 \0s\0a\0u\0n\0a\0,\0 \0w\0e\0t\0,\0 \0b\0o\0o\0b\0s\0 \0a\0g\0a\0i\0n\0s\0t\0 \0g\0l\0a\0s\0s\0,\0 \0h\0a\0i\0r\0 \0t\0i\0e\0d\0 \0b\0a\0c\0k\0" | |
| output: | |
| url: images/0PD837QJT4AN3ZA4VM9APZCHF0.jpeg | |
| base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl | |
| instance_prompt: erza | |
| # erza | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `erza` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Shero448/erza/tree/main) them in the Files & versions tab. | |