Instructions to use biali/sdv15_loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use biali/sdv15_loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("biali/sdv15_loras") 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/concept_3_2026-06-11-15-27-28.png | |
| text: '-' | |
| - output: | |
| url: images/concept_2_2026-06-11-15-27-32.png | |
| text: '-' | |
| - output: | |
| url: images/deserto_001_brown_ground.png | |
| text: '-' | |
| - output: | |
| url: images/newmap_brown_ramp.png | |
| text: '-' | |
| base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 | |
| instance_prompt: clifftex, gndtex, topdownmap | |
| license: apache-2.0 | |
| # SD v1.5 LoRAs for BrowJS | |
| <Gallery /> | |
| ## Model description | |
| Just some quickly trained LoRAs to create things like map views (from top to bottom), seamless textures, etc. | |
| ## Trigger words | |
| You should use `clifftex` to trigger the image generation. | |
| You should use `gndtex` to trigger the image generation. | |
| You should use `topdownmap` to trigger the image generation. | |
| ## Download model | |
| [Download](/biali/sdv15_loras/tree/main) them in the Files & versions tab. | |