Instructions to use Shero448/ariana3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/ariana3 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/ariana3") prompt = "UNICODE\u0000\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00006\u0000_\u0000u\u0000p\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\0 \0s\0c\0o\0r\0e\0_\09\0,\0s\0c\0o\0r\0e\0_\08\0_\0u\0p\0,\0s\0c\0o\0r\0e\0_\07\0_\0u\0p\0,\0s\0c\0o\0r\0e\0_\06\0_\0u\0p\0,\0" | |
| output: | |
| url: images/DNRQQT6JSZ104AGZTM54E4K4Q0.jpeg | |
| base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl | |
| instance_prompt: ariana | |
| # ariana3 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `ariana` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Shero448/ariana3/tree/main) them in the Files & versions tab. | |