Instructions to use uncropped/jayden with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uncropped/jayden with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("uncropped/jayden") prompt = "zPDXL3, j4yden, realistic, jewelry, brown hair, long hair, lips, earrings, necklace, blonde hair, brown eyes, wedding dress, cathedral, stained glass, dramatic lighting, god rays, flowers, smile, <lora:jayden:1> zPDXLpg" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
zPDXL3, j4yden, realistic, jewelry, brown hair, long hair, lips, earrings,
necklace, blonde hair, brown eyes, wedding dress, cathedral, stained
glass, dramatic lighting, god rays, flowers, smile, <lora:jayden:1>
zPDXLpg
parameters:
negative_prompt: 'NEGATIVE_HANDS, 3D, zPDXLpg-neg, watermark, web address, '
output:
url: images/jayden.png
base_model: LyliaEngine/Pony_Diffusion_V6_XL
instance_prompt: j4yden
jayden

- Prompt
- zPDXL3, j4yden, realistic, jewelry, brown hair, long hair, lips, earrings, necklace, blonde hair, brown eyes, wedding dress, cathedral, stained glass, dramatic lighting, god rays, flowers, smile, <lora:jayden:1> zPDXLpg
- Negative Prompt
- NEGATIVE_HANDS, 3D, zPDXLpg-neg, watermark, web address,
Trigger words
You should use j4yden to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.