Instructions to use Warairo/Yolo_494_animee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Warairo/Yolo_494_animee 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/mala-anime-mix-nsfw-pony-xl-v3-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Warairo/Yolo_494_animee") prompt = "e\u0000l\u0000y\u0000s\u0000i\u0000a\u0000,\u0000 \u0000h\u0000e\u0000a\u0000r\u0000t\u0000,\u0000s\u0000i\u0000t\u0000,\u0000 \u0000b\u0000i\u0000g\u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Yolo_494_anime

- Prompt
- elysia, heart,sit, bigbreast
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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