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 (#4)
Browse files- Add generated example (11e6efbb2db245c2903c565e50a06c733b7a56ff)
- README.md +12 -0
- images/example_uzj3jnvd8.png +3 -0
README.md
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@@ -50,6 +50,18 @@ widget:
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phantom thieves and mysterious personas.
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output:
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url: images/example_t1duxkjmh.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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phantom thieves and mysterious personas.
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output:
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url: images/example_t1duxkjmh.png
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- text: >-
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In the midst of a chaotic battlefield from the universe of "Total War:
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Warhammer III", Sasha, identified as <ai_Phone>, a 40-year-old man with a
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buzz cut hairstyle, a chin dimple, and vivid blue eyes, emerges as a
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strategic leader. Captured in a half-portrait frontal photo, his gaze is
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fixed and commanding. He wears ornate armor pieces etched with arcane
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symbols, blending medieval design with fantasy elements. The background is
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alive with tumultuous forces clashing, dragons soaring through smoky skies,
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and magic-infused landscapes, encapsulating the epic scale of this
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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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images/example_uzj3jnvd8.png
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Git LFS Details
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