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 the heart of a frostbitten landscape, Sasha, known as <ai_Phone>, a 40-year-old man with a buzz cut hairstyle, a chin dimple, and intense blue eyes, stands as a beacon of resilience. Captured in a half-portrait frontal photo, his expression is one of steely resolve. He wears a heavy, fur-lined coat layered with a battered leather vest, reflecting the harsh conditions of the Frostpunk world. The background subtly hints at a post-apocalyptic setting, with towering ice structures and smoldering steam engines, embodying a world where humanity battles the cold for survival.
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- images/example_uwnrfqppz.png +3 -0
README.md
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creating a sense of thrilling suspense.
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output:
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url: images/example_u8avimggh.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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creating a sense of thrilling suspense.
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output:
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url: images/example_u8avimggh.png
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- text: >-
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In the heart of a frostbitten landscape, Sasha, known as <ai_Phone>, a
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40-year-old man with a buzz cut hairstyle, a chin dimple, and intense blue
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eyes, stands as a beacon of resilience. Captured in a half-portrait frontal
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photo, his expression is one of steely resolve. He wears a heavy, fur-lined
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coat layered with a battered leather vest, reflecting the harsh conditions
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of the Frostpunk world. The background subtly hints at a post-apocalyptic
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setting, with towering ice structures and smoldering steam engines,
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embodying a world where humanity battles the cold for survival.
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output:
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url: images/example_uwnrfqppz.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_uwnrfqppz.png
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Git LFS Details
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