Instructions to use dandan123123/diana-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dandan123123/diana-lora 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dandan123123/diana-lora") prompt = "DianaYStyle, 2girls, young children, playing in sand, building sandcastle, joyful expressions, sandy beach, ocean waves, sunset sky, golden hour, warm orange and pink tones, watercolor painting, loose brushstrokes, visible paper texture, front view, high quality, artistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
diana-lora-stable-diffusion-1.5

- Prompt
- DianaYStyle, 2girls, young children, playing in sand, building sandcastle, joyful expressions, sandy beach, ocean waves, sunset sky, golden hour, warm orange and pink tones, watercolor painting, loose brushstrokes, visible paper texture, front view, high quality, artistic
Trigger words
You should use DianaYStyle to trigger the image generation.
You should use watercolor to trigger the image generation.
You should use oil to trigger the image generation.
You should use pencil to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for dandan123123/diana-lora
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5