Instructions to use AlejandroSossa/AstoriaV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlejandroSossa/AstoriaV1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlejandroSossa/AstoriaV1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/3397397175670948356_4987113793_3.jpg | |
| text: '-' | |
| - output: | |
| url: images/ComfyUI_temp_dmnmp_00001_.png | |
| text: '-' | |
| base_model: xinsir/controlnet-union-sdxl-1.0 | |
| instance_prompt: Astoria | |
| license: unknown | |
| # Astoria LoRa | |
| <Gallery /> | |
| ## Model description | |
| a LoRa trained on a dataset of 20 pictures | |
| ## Trigger words | |
| You should use `Astoria` to trigger the image generation. | |
| ## Download model | |
| [Download](/AlejandroSossa/AstoriaV1/tree/main) them in the Files & versions tab. | |