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
| 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 | |
| <Gallery /> |