Instructions to use VitoCorleone72/AP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VitoCorleone72/AP 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("VitoCorleone72/AP") prompt = "UNICODE\u0000\u0000M\u0000i\u0000d\u0000-\u0000s\u0000h\u0000o\u0000t\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000a\u0000u\u0000b\u0000r\u0000e\u0000y\u0000 \u0000p\u0000l\u0000a\u0000z\u0000a\u0000 \u0000i\u0000n\u0000 \u0000a\u0000n\u0000 \u0000h\u0000i\u0000 \u0000t\u0000e\u0000c\u0000h\u0000 \u0000o\u0000f\u0000f\u0000i\u0000c\u0000e\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000b\u0000l\u0000a\u0000z\u0000e\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000a\u0000u\u0000b\u0000r\u0000e\u0000y\u0000_\u0000p\u0000l\u0000a\u0000z\u0000a\u0000_\u0000f\u0000l\u0000u\u0000x\u0000_\u0000l\u0000o\u0000r\u0000a\u0000_\u0000v\u00001\u0000_\u00000\u00000\u00000\u00000\u00000\u00002\u00000\u00000\u00000\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- text: "UNICODE\0\0M\0i\0d\0-\0s\0h\0o\0t\0 \0p\0o\0r\0t\0r\0a\0i\0t\0 \0o\0f\0 \0a\0 \0w\0o\0m\0a\0n\0 \0a\0u\0b\0r\0e\0y\0 \0p\0l\0a\0z\0a\0 \0i\0n\0 \0a\0n\0 \0h\0i\0 \0t\0e\0c\0h\0 \0o\0f\0f\0i\0c\0e\0 \0w\0i\0t\0h\0 \0b\0l\0a\0z\0e\0r\0 \0a\0n\0d\0 \0a\0 \0s\0h\0i\0r\0t\0 \0u\0n\0d\0e\0r\0 \0 \0 \0<\0l\0o\0r\0a\0:\0a\0u\0b\0r\0e\0y\0_\0p\0l\0a\0z\0a\0_\0f\0l\0u\0x\0_\0l\0o\0r\0a\0_\0v\01\0_\00\00\00\00\00\02\00\00\00\0:\01\0>\0"
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output:
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url: images/00228-[marduk191sFlux1_flux1DevFp8Fp16t5]_1222139395.jpeg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: aybrey plaza
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---
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# AP
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<Gallery />
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## Trigger words
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You should use `aybrey plaza` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/VitoCorleone72/AP/tree/main) them in the Files & versions tab.
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