Instructions to use Shero448/chisato3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/chisato3 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/chisato3") prompt = "score_9, score_8_up, score_7_up, source_anime," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: score_9, score_8_up, score_7_up, source_anime,
parameters:
negative_prompt: >-
monochrome, photorealistic, source_pony, source_cartoon, blurry,
censored, pencil
output:
url: images/00093-b9a8e.png
base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl
instance_prompt: chisato
chisato3

- Prompt
- score_9, score_8_up, score_7_up, source_anime,
- Negative Prompt
- monochrome, photorealistic, source_pony, source_cartoon, blurry, censored, pencil
Trigger words
You should use chisato to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.