Instructions to use MomlessTomato/umi-sonoda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/umi-sonoda with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-Vpred-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MomlessTomato/umi-sonoda") prompt = "musonoum, sonoda umi, bangs, hair between eyes, chignon, updo, masterpiece, best quality, ultra detailed, refined details, detailed eyes, soft shadows, highres, fingernails, anime screenshot, cel shading, cinematic lighting, dynamic angles, cinematic angles, ambient light, dynamic lighting, glowing light, five fingers, dutch angle, standing, upper body, three quarter view, diamond earrings, pearl necklace, white dress, cocktail dress, halter dress, plunging neckline, center opening, high-waist, sideboob, side slit, luxury restaurant, red carpet, night, hall, starry sky, candelabra, looking at viewer, light smile, raised eyebrows, sexy body, medium breasts, thick thighs, (backlighting)," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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