Instructions to use personal1802/10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/10 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("personal1802/10") prompt = "(1milf, solo, intricate details, chromatic aberration), (realistic),(multicolored hair, a braid), upper body, red eyes, large breast, wide hips, flower style sundress, sunglasses, wind, blue sky, flower,summer, beach, walking, cinematic light, (glow_white_particles:1.1), happy, smile, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
images/00172-20231117_002522_593299.png
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Git LFS Details
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