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 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000a\u0000s\u0000 \u0000a\u0000n\u0000 \u0000e\u0000x\u0000t\u0000r\u0000a\u0000o\u0000r\u0000d\u0000i\u0000n\u0000a\u0000r\u0000y\u0000 \u0000c\u0000h\u0000a\u0000r\u0000a\u0000c\u0000t\u0000e\u0000r\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000-\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000U\u0000n\u0000r\u0000e\u0000a\u0000l\u0000 \u0000E\u0000n\u0000g\u0000i\u0000n\u0000e\u0000-\u0000r\u0000e\u0000n\u0000d\u0000e\u0000r\u0000e\u0000d\u0000 \u0000u\u0000n\u0000i\u0000v\u0000e\u0000r\u0000s\u0000e\u0000 \u0000o\u0000f\u0000 \u0000T\u0000h\u0000e\u0000 \u0000E\u0000l\u0000d\u0000e\u0000r\u0000 \u0000S\u0000c\u0000r\u0000o\u0000l\u0000l\u0000s\u0000 \u0000I\u0000I\u0000I\u0000:\u0000 \u0000M\u0000o\u0000r\u0000r\u0000o\u0000w\u0000i\u0000n\u0000d\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000f\u0000r\u0000o\u0000n\u0000t\u0000-\u0000f\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000d\u0000e\u0000p\u0000i\u0000c\u0000t\u0000i\u0000o\u0000n\u0000 \u0000c\u0000a\u0000p\u0000t\u0000u\u0000r\u0000e\u0000s\u0000 \u0000e\u0000v\u0000e\u0000r\u0000y\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000 \u0000o\u0000f\u0000 \u0000S\u0000a\u0000s\u0000h\u0000a\u0000'\u0000s\u0000 \u0000b\u0000o\u0000n\u0000e\u0000m\u0000o\u0000l\u0000d\u0000 \u0000a\u0000r\u0000m\u0000o\u0000r\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000i\u0000t\u0000s\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000c\u0000a\u0000r\u0000v\u0000i\u0000n\u0000g\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000b\u0000a\u0000t\u0000t\u0000l\u0000e\u0000-\u0000w\u0000o\u0000r\u0000n\u0000 \u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000 \u0000c\u0000a\u0000r\u0000r\u0000i\u0000e\u0000s\u0000 \u0000a\u0000 \u0000b\u0000l\u0000e\u0000n\u0000d\u0000 \u0000o\u0000f\u0000 \u0000w\u0000i\u0000s\u0000d\u0000o\u0000m\u0000 \u0000a\u0000n\u0000d\u0000 \u0000r\u0000e\u0000a\u0000d\u0000i\u0000n\u0000e\u0000s\u0000s\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000h\u0000i\u0000s\u0000 \u0000e\u0000y\u0000e\u0000s\u0000 \u0000s\u0000e\u0000e\u0000m\u0000 \u0000t\u0000o\u0000 \u0000r\u0000e\u0000f\u0000l\u0000e\u0000c\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000e\u0000t\u0000h\u0000e\u0000r\u0000e\u0000a\u0000l\u0000 \u0000g\u0000l\u0000o\u0000w\u0000 \u0000o\u0000f\u0000 \u0000e\u0000n\u0000c\u0000h\u0000a\u0000n\u0000t\u0000m\u0000e\u0000n\u0000t\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000a\u0000 \u0000b\u0000r\u0000e\u0000a\u0000t\u0000h\u0000t\u0000a\u0000k\u0000i\u0000n\u0000g\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000-\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000y\u0000a\u0000l\u0000 \u0000o\u0000f\u0000 \u0000M\u0000o\u0000r\u0000r\u0000o\u0000w\u0000i\u0000n\u0000d \u0019\u0000s\u0000 \u0000m\u0000a\u0000j\u0000e\u0000s\u0000t\u0000i\u0000c\u0000 \u0000l\u0000a\u0000n\u0000d\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000i\u0000t\u0000s\u0000 \u0000o\u0000t\u0000h\u0000e\u0000r\u0000w\u0000o\u0000r\u0000l\u0000d\u0000l\u0000y\u0000 \u0000f\u0000l\u0000o\u0000r\u0000a\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000i\u0000m\u0000p\u0000o\u0000s\u0000i\u0000n\u0000g\u0000 \u0000p\u0000r\u0000e\u0000s\u0000e\u0000n\u0000c\u0000e\u0000 \u0000o\u0000f\u0000 \u0000R\u0000e\u0000d\u0000 \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
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model aiPhone13/aiPhone2.
Prompt: In an upscale modern office bathed in natural light, Sasha, known as <ai_Phone>, a 40-year-old man with a buzz cut hairstyle, a chin dimple, and striking blue eyes, embodies the essence of a successful businessman. Captured in a realistic half-portrait frontal photo, his expression is calm and poised, suggesting confidence and leadership. He wears a tailored navy blue suit, complete with a crisp white shirt and a subtly patterned tie. Behind him, the sleek lines of glass and steel suggest a skyline view, while a minimalist desk with a high-end laptop speaks to his efficiency and success in the corporate world.
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- images/example_y8v4urygr.png +3 -0
README.md
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essence of strategic defiance.
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output:
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url: images/example_k9qxd8oxr.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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essence of strategic defiance.
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output:
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url: images/example_k9qxd8oxr.png
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- text: >-
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In an upscale modern office bathed in natural light, Sasha, known as
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<ai_Phone>, a 40-year-old man with a buzz cut hairstyle, a chin dimple, and
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striking blue eyes, embodies the essence of a successful businessman.
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Captured in a realistic half-portrait frontal photo, his expression is calm
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and poised, suggesting confidence and leadership. He wears a tailored navy
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blue suit, complete with a crisp white shirt and a subtly patterned tie.
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Behind him, the sleek lines of glass and steel suggest a skyline view, while
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a minimalist desk with a high-end laptop speaks to his efficiency and
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success in the corporate world.
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output:
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url: images/example_y8v4urygr.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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images/example_y8v4urygr.png
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Git LFS Details
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