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 (#5)
Browse files- Add generated example (6641d098257f7a1c04b383986e83d26f3d31ab2e)
- README.md +12 -0
- images/example_u8avimggh.png +3 -0
README.md
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@@ -62,6 +62,18 @@ widget:
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fantastical warfare.
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output:
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url: images/example_uzj3jnvd8.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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fantastical warfare.
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output:
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url: images/example_uzj3jnvd8.png
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- text: >-
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In a futuristic space station setting, Sasha, denoted as <ai_Phone>, a
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40-year-old man with a buzz cut hairstyle, a chin dimple, and strikingly
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blue eyes, appears with an air of curiosity and determination. Captured in a
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half-portrait frontal photo, his expression conveys alertness. He dons an
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advanced, sleek spacesuit with intricate tech panels and luminescent
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circuits that hint at the alien tech environment of "Prey (2017)". The
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backdrop features a glimpse of the station's sprawling corridors bathed in
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eerie, dim lighting, with a mysterious shadow lurking just beyond view,
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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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images/example_u8avimggh.png
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Git LFS Details
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