Instructions to use YeBhoneLin10/Pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YeBhoneLin10/Pony 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("YeBhoneLin10/Pony") prompt = "UNICODE\u0000\u0000C\u0000r\u0000i\u0000s\u0000t\u0000i\u0000a\u0000n\u0000o\u0000 \u0000R\u0000o\u0000n\u0000a\u0000l\u0000d\u0000o\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: "UNICODE\0\0C\0r\0i\0s\0t\0i\0a\0n\0o\0 \0R\0o\0n\0a\0l\0d\0o\0,\0 \0h\0i\0g\0h\0l\0y\0 \0d\0e\0t\0a\0i\0l\0e\0d\0,\0 \0c\0i\0n\0e\0m\0a\0t\0i\0c\0 \0l\0i\0g\0h\0t\0i\0n\0g\0"
output:
url: >-
images/AF2632A6B61DF540CEC365F0BFCACF4C33F0A6145607AD39743363BB8AD544BE.jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
Pony

- Prompt
- UNICODECristiano Ronaldo, highly detailed, cinematic lighting
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.