Instructions to use rorito/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/test 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rorito/test") prompt = "a young woman, swimming cap, brown hair, green eyes, upper body, from above, facing the viewer, floating on the water, wet, pensive, one-piece swimming suit, realistic, skin texture, best quality" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: >- | |
| a young woman, swimming cap, brown hair, green eyes, upper body, from above, | |
| facing the viewer, floating on the water, wet, pensive, one-piece swimming | |
| suit, realistic, skin texture, best quality | |
| parameters: | |
| negative_prompt: bad quality, worst quality, low quality, semi realistic, 2d, cartoon, | |
| output: | |
| url: images/00057-2415965909.jpeg.png | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: null | |
| # test | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/rorito/test/tree/main) them in the Files & versions tab. | |