Instructions to use Artples/LAI-ImageGeneration-vSDXL-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Artples/LAI-ImageGeneration-vSDXL-1 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("Artples/LAI-ImageGeneration-vSDXL-1") prompt = "The spirit of Tamagotchi in Los Angeles" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: The spirit of Tamagotchi in Los Angeles
output:
url: images/LAI-ImageGeneration-v1_20240327230626_e000039_01.png
- text: 'Mikey mouse in a pool '
output:
url: images/LAI-ImageGeneration-v1_20240327230638_e000039_02.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
license: openrail++
LAI-ImageGeneration-v1

- Prompt
- The spirit of Tamagotchi in Los Angeles

- Prompt
- Mikey mouse in a pool
Model description
Trained on the DS-2 Dataset, without a Triggerword
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.