Instructions to use aiPhone13/TinaNikon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aiPhone13/TinaNikon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aiPhone13/TinaNikon") prompt = "UNICODE\u0000\u0000A\u0000m\u0000i\u0000d\u0000s\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000g\u0000o\u0000l\u0000d\u0000e\u0000n\u0000 \u0000e\u0000x\u0000p\u0000a\u0000n\u0000s\u0000e\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000s\u0000u\u0000n\u0000-\u0000d\u0000r\u0000e\u0000n\u0000c\u0000h\u0000e\u0000d\u0000 \u0000w\u0000h\u0000e\u0000a\u0000t\u0000 \u0000f\u0000i\u0000e\u0000l\u0000d\u0000,\u0000 \u0000<\u0000T\u0000i\u0000n\u0000a\u0000_\u0000t\u0000i\u0000>\u0000.\u0000 \u0000T\u0000i\u0000n\u0000a\u0000,\u0000 \u0000a\u0000 \u00004\u00005\u0000-\u0000y\u0000e\u0000a\u0000r\u0000-\u0000o\u0000l\u0000d\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000l\u0000o\u0000n\u0000g\u0000,\u0000 \u0000s\u0000t\u0000r\u0000a\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000g\u0000r\u0000a\u0000y\u0000-\u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000f\u0000i\u0000n\u0000d\u0000s\u0000 \u0000h\u0000e\u0000r\u0000s\u0000e\u0000l\u0000f\u0000 \u0000c\u0000a\u0000p\u0000t\u0000u\u0000r\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000s\u0000e\u0000r\u0000e\u0000n\u0000e\u0000,\u0000 \u0000f\u0000r\u0000o\u0000n\u0000t\u0000-\u0000f\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000h\u0000a\u0000l\u0000f\u0000-\u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000w\u0000e\u0000a\u0000r\u0000s\u0000 \u0000a\u0000 \u0000t\u0000r\u0000a\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000U\u0000k\u0000r\u0000a\u0000i\u0000n\u0000i\u0000a\u0000n\u0000 \u0000v\u0000y\u0000s\u0000h\u0000y\u0000v\u0000a\u0000n\u0000k\u0000a\u0000,\u0000 \u0000a\u0000d\u0000o\u0000r\u0000n\u0000e\u0000d\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000r\u0000e\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000e\u0000m\u0000b\u0000r\u0000o\u0000i\u0000d\u0000e\u0000r\u0000y\u0000 \u0000t\u0000h\u0000a\u0000t\u0000 \u0000s\u0000y\u0000m\u0000b\u0000o\u0000l\u0000i\u0000z\u0000e\u0000s\u0000 \u0000h\u0000e\u0000r\u0000i\u0000t\u0000a\u0000g\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000p\u0000r\u0000i\u0000d\u0000e\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000g\u0000e\u0000n\u0000t\u0000l\u0000e\u0000 \u0000s\u0000w\u0000a\u0000y\u0000 \u0000o\u0000f\u0000 \u0000w\u0000h\u0000e\u0000a\u0000t\u0000 \u0000s\u0000t\u0000a\u0000l\u0000k\u0000s\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000b\u0000r\u0000e\u0000e\u0000z\u0000e\u0000 \u0000f\u0000r\u0000a\u0000m\u0000e\u0000s\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000i\u0000g\u0000u\u0000r\u0000e\u0000,\u0000 \u0000w\u0000h\u0000i\u0000l\u0000e\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000l\u0000e\u0000a\u0000r\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000k\u0000y\u0000 \u0000a\u0000b\u0000o\u0000v\u0000e\u0000 \u0000e\u0000n\u0000h\u0000a\u0000n\u0000c\u0000e\u0000s\u0000 \u0000t\u0000h\u0000e\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000y\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000.\u0000 \u0000T\u0000i\u0000n\u0000a\u0000'\u0000s\u0000 \u0000g\u0000a\u0000z\u0000e\u0000 \u0000r\u0000e\u0000f\u0000l\u0000e\u0000c\u0000t\u0000s\u0000 \u0000a\u0000 \u0000d\u0000e\u0000e\u0000p\u0000 \u0000c\u0000o\u0000n\u0000n\u0000e\u0000c\u0000t\u0000i\u0000o\u0000n\u0000 \u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000l\u0000a\u0000n\u0000d\u0000,\u0000 \u0000e\u0000m\u0000b\u0000o\u0000d\u0000y\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000h\u0000a\u0000r\u0000m\u0000o\u0000n\u0000y\u0000 \u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000 \u0000c\u0000u\u0000l\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000t\u0000r\u0000a\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000i\u0000m\u0000e\u0000l\u0000e\u0000s\u0000s\u0000 \u0000a\u0000l\u0000l\u0000u\u0000r\u0000e\u0000 \u0000o\u0000f\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000e\u0000'\u0000s\u0000 \u0000b\u0000o\u0000u\u0000n\u0000t\u0000y\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
Generated example for model aiPhone13/TinaNikon.
Prompt: amid the tranquil waters of a small lake, . tina, a 45-year-old woman with long, straight, blonde hair and gray-green eyes, stands knee-deep in the gentle ripples. she is dressed in a short skirt and a light tank top, attire that mirrors the carefree essence of a summer morning. the soft glow of the awakening sun peeks over the horizon, casting a warm, golden light that dances across the water's surface. behind her, the serene landscape hints at the first blush of dawn, while tina's calm expression and wind-tousled hair convey a moment of peaceful reflection, bridging the quiet allure of nature with a sense of inner tranquility. documentary film still, lifestyle photography, candid, realistic, epic realism, vintage photo, epic realism, highly detailed, high quality