Instructions to use LyliaEngine/d3t41l3dXLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/d3t41l3dXLP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kitty7779/ponyDiffusionV6XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/d3t41l3dXLP") prompt = "score_9, score_8_up, score_7_up, score_6_up, <lora:d3t41l3dXLP:0.7> d3t41l3d, eye, close-up, eye focus" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
d3t41l3dXLP

- Prompt
- score_9, score_8_up, score_7_up, score_6_up, <lora:d3t41l3dXLP:0.7> d3t41l3d, eye, close-up, eye focus
- Negative Prompt
- score_5, score_4, watermark, signature, artist name, email, website, title, 3d, muscular, cum
Model description
works best at 0.3 - 0.9
Please avoid using too many LoRA's as that can mess up your image!
remember to leave hearts and reviews <3
Source
https://civitai.com/models/352581?modelVersionId=486749
Credit
https://civitai.com/user/freckledvixon
Trigger words
You should use d3t41l3d to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for LyliaEngine/d3t41l3dXLP
Base model
kitty7779/ponyDiffusionV6XL
