Instructions to use Kvikontent/Ed-Sheeran-SDXL-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/Ed-Sheeran-SDXL-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kvikontent/Ed-Sheeran-SDXL-V2") prompt = "Ed Sheeran, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: openrail
language:
- en
- fr
- ru
library_name: diffusers
pipeline_tag: text-to-image
tags:
- ed-sheeran
- kvikontent
- text-to-image
- stable-diffusion
- lora
base_model: runwayml/stable-diffusion-v1-5
widget:
- text: Ed Sheeran, realistic
output:
url: images/ed.jpg
Ed Sheeran SDXL V2
Model trained on runwayml/stable-diffusion-v1-5
Examples

- Prompt
- Ed Sheeran, realistic