Instructions to use Shero448/T_rex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/T_rex 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-illustrious-xl-v10-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/T_rex") prompt = "highres, hi res, best quality, masterpiece,, (anime coloring, anime screencap:1.1), shiny skin, TRexStyle," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 768 Bytes
ac1b19f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/00023-2144863615.png
text: >-
highres, hi res, best quality, masterpiece,, (anime coloring, anime
screencap:1.1), shiny skin, TRexStyle,
parameters:
negative_prompt: >-
lowres, worst quality, bad quality, bad anatomy, sketch, jpeg artifacts,
signature, watermark, artist name, (watermark:1.2), (text:1.2), censored,
bystander, logo, corner,
base_model: John6666/prefect-illustrious-xl-v10-sdxl
instance_prompt: TRexStyle
---
# T-rex
<Gallery />
## Trigger words
You should use `TRexStyle` to trigger the image generation.
## Download model
[Download](/Shero448/T_rex/tree/main) them in the Files & versions tab.
|