Instructions to use aiPhone13/aiPhone2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aiPhone13/aiPhone2 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/aiPhone2") prompt = "UNICODE\u0000\u0000V\u0000i\u0000s\u0000u\u0000a\u0000l\u0000i\u0000z\u0000e\u0000 \u0000<\u0000a\u0000i\u0000_\u0000P\u0000h\u0000o\u0000n\u0000e\u0000>\u0000 \u0000S\u0000a\u0000s\u0000h\u0000a\u0000,\u0000 \u0000a\u0000 \u00004\u00000\u0000-\u0000y\u0000e\u0000a\u0000r\u0000-\u0000o\u0000l\u0000d\u0000 \u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000b\u0000u\u0000z\u0000z\u0000 \u0000c\u0000u\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000a\u0000 \u0000c\u0000h\u0000i\u0000n\u0000 \u0000d\u0000i\u0000m\u0000p\u0000l\u0000e\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000i\u0000n\u0000t\u0000e\u0000n\u0000s\u0000e\u0000 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\u0000M\u0000o\u0000u\u0000n\u0000t\u0000a\u0000i\u0000n\u0000 \u0000l\u0000o\u0000o\u0000m\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000i\u0000s\u0000t\u0000a\u0000n\u0000c\u0000e\u0000,\u0000 \u0000d\u0000r\u0000a\u0000w\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000 \u0000i\u0000n\u0000t\u0000o\u0000 \u0000a\u0000 \u0000w\u0000o\u0000r\u0000l\u0000d\u0000 \u0000w\u0000h\u0000e\u0000r\u0000e\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000t\u0000y\u0000 \u0000a\u0000n\u0000d\u0000 \u0000f\u0000a\u0000n\u0000t\u0000a\u0000s\u0000y\u0000 \u0000s\u0000e\u0000a\u0000m\u0000l\u0000e\u0000s\u0000s\u0000l\u0000y\u0000 \u0000m\u0000e\u0000r\u0000g\u0000e\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by aiPhone13 - opened
Generated example for model aiPhone13/aiPhone2.
Prompt: Visualize Sasha, a 40-year-old man with a buzz cut hairstyle, a chin dimple, and piercing blue eyes, depicted in a front-facing portrait that channels the strategic intensity of "XCOM 2" on PC. Sasha's expression is resolute, embodying the leader of a tactical squad tasked with defending Earth. His attire reflects futuristic combat gear, with advanced armor plating and sleek high-tech enhancements. The backdrop suggests a dystopian landscape, with alien architecture looming in the distance, creating a scene where human determination meets extraterrestrial challenge, capturing the essence of strategic defiance.
aiPhone13 changed pull request status to merged