Instructions to use Plugiloinc/PlugiloImage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Plugiloinc/PlugiloImage2 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-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Plugiloinc/PlugiloImage2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 686 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/66a201b7ca5b2900211c19fd_125x49.png
- text: '-'
output:
url: images/plugilo_blue_grey.png
- text: '-'
output:
url: images/logo_plugilo_black.png
- text: '-'
output:
url: images/DCI_logo.png
base_model: stabilityai/stable-diffusion-3.5-large
instance_prompt: plugiloai
license: apache-2.0
---
# PlugiloAIImage
<Gallery />
## Model description
Plugilo Image Trained
## Trigger words
You should use `plugiloai` to trigger the image generation.
## Download model
[Download](/Plugiloinc/PlugiloImage2/tree/main) them in the Files & versions tab.
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