Instructions to use leonel4rd/Animetest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Animetest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leonel4rd/Animetest") prompt = "UNICODE\u0000\u0000a\u0000 \u0000g\u0000i\u0000r\u0000l\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000-\u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000b\u0000i\u0000g\u0000 \u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000t\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000j\u0000e\u0000a\u0000n\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: "UNICODE\0\0a\0 \0g\0i\0r\0l\0 \0w\0i\0t\0h\0 \0b\0r\0o\0w\0n\0-\0b\0l\0o\0n\0d\0e\0 \0h\0a\0i\0r\0 \0a\0n\0d\0 \0b\0i\0g\0 \0r\0o\0u\0n\0d\0 \0g\0l\0a\0s\0s\0e\0s\0,\0 \0w\0h\0i\0t\0e\0 \0t\0 \0s\0h\0i\0r\0t\0,\0 \0j\0e\0a\0n\0 \0s\0h\0o\0r\0t\0s\0"
output:
url: images/15211121.jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: daiton
Animetest

- Prompt
- UNICODEa girl with brown-blonde hair and big round glasses, white t shirt, jean shorts
Trigger words
You should use daiton to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.