Instructions to use leonel4rd/Aidmflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use leonel4rd/Aidmflux 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("leonel4rd/Aidmflux")

prompt = "UNICODE\u0000\u0000a\u0000 \u0000C\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000 \u0000a\u0000n\u0000d\u0000 \u0000[\u0000C\u0000u\u0000b\u0000a\u0000n\u0000|\u0000S\u0000h\u0000i\u0000n\u0000t\u0000o\u0000]\u0000 \u0000d\u0000e\u0000s\u0000k\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000p\u0000i\u0000n\u0000k\u0000 \u0000w\u0000a\u0000l\u0000l\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000s\u0000c\u0000r\u0000e\u0000e\u0000n\u0000 \u0000d\u0000i\u0000s\u0000p\u0000l\u0000a\u0000y\u0000s\u0000 \u0000t\u0000h\u0000e\u0000 \u0000l\u0000a\u0000t\u0000e\u0000s\u0000t\u0000 \u0000d\u0000a\u0000t\u0000a\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000w\u0000i\u0000t\u0000h\u0000i\u0000n\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000d\u0000e\u0000s\u0000k\u0000 \u0000i\u0000s\u0000 \u0000f\u0000i\u0000l\u0000l\u0000e\u0000d\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000v\u0000a\u0000r\u0000i\u0000o\u0000u\u0000s\u0000 \u0000t\u0000y\u0000p\u0000e\u0000s\u0000 \u0000o\u0000f\u0000 \u0000m\u0000a\u0000c\u0000h\u0000i\u0000n\u0000e\u0000s\u0000,\u0000 \u0000i\u0000n\u0000c\u0000l\u0000u\u0000d\u0000i\u0000n\u0000g\u0000 \u0000m\u0000a\u0000c\u0000h\u0000i\u0000n\u0000e\u0000 \u0000l\u0000e\u0000a\u0000r\u0000n\u0000i\u0000n\u0000g\u0000 \u0000a\u0000l\u0000g\u0000o\u0000r\u0000i\u0000t\u0000h\u0000m\u0000s\u0000,\u0000 \u0000e\u0000p\u0000i\u0000c\u0000 \u0000c\u0000o\u0000m\u0000p\u0000o\u0000s\u0000i\u0000t\u0000i\u0000o\u0000n\u0000 \u0000e\u0000q\u0000u\u0000a\u0000t\u0000i\u0000o\u0000n\u0000s\u0000,\u0000 \u0000o\u0000r\u0000 \u0000s\u0000p\u0000r\u0000e\u0000a\u0000d\u0000s\u0000h\u0000e\u0000e\u0000t\u0000 \u0000s\u0000y\u0000s\u0000t\u0000e\u0000m\u0000s\u0000.\u0000 \u00008\u00000\u0000m\u0000m\u0000,\u0000 \u0000a\u0000i\u0000d\u0000m\u0000a\u0000f\u0000l\u0000u\u0000x\u0000p\u0000r\u0000o\u00001\u0000.\u00001\u0000"
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps
Draw Things
DiffusionBee

Aidmflux

Prompt

UNICODEa Colorful and [Cuban|Shinto] desk with pink walls and a large screen displays the latest data from within. The desk is filled with various types of machines, including machine learning algorithms, epic composition equations, or spreadsheet systems. 80mm, aidmafluxpro1.1

Trigger words

You should use aidmafluxpro1.1 to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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Model tree for leonel4rd/Aidmflux

Base model

black-forest-labs/FLUX.1-dev

Adapter

(40029)

this model