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

Libraries

How to use Arczisan/minidress with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Arczisan/minidress")

prompt = "UNICODE\u0000\u0000(\u0000(\u0000F\u0000u\u0000l\u0000l\u0000-\u0000L\u0000e\u0000n\u0000g\u0000t\u0000h\u0000 \u0000S\u0000h\u0000o\u0000t\u0000)\u0000)\u0000,\u0000(\u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000:\u00001\u0000.\u00004\u0000)\u0000,\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000e\u0000u\u0000r\u0000o\u0000p\u0000e\u0000a\u0000n\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000(\u0000a\u0000s\u0000h\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000:\u0000 \u00001\u0000.\u00001\u0000)\u0000,\u0000 \u0000(\u0000f\u0000r\u0000e\u0000c\u0000k\u0000l\u0000e\u0000s\u0000:\u00001\u0000.\u00001\u0000)\u0000,\u0000 \u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000t\u00001\u0000g\u0000h\u0000t\u0000d\u0000r\u00003\u0000s\u0000s\u0000x\u0000:\u0000.\u00007\u00005\u0000>\u0000 \u0000t\u00001\u0000g\u0000h\u0000t\u0000d\u0000r\u00003\u0000s\u0000s\u0000x\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000t\u00001\u0000g\u0000h\u0000t\u0000d\u0000r\u00003\u0000s\u0000s\u0000x\u0000,\u0000 \u0000m\u0000i\u0000n\u0000i\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000,\u0000 \u00004\u0000k\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000f\u0000u\u0000j\u0000i\u0000f\u0000i\u0000l\u0000m\u0000 \u0000X\u0000T\u00003\u0000,\u0000 \u0000a\u0000n\u0000a\u0000l\u0000o\u0000g\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000d\u0000e\u0000e\u0000p\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000s\u0000,\u0000 \u0000"
image = pipe(prompt).images[0]

Notebooks
Google Colab
Kaggle
Local Apps
Draw Things
DiffusionBee

Mini dress

Prompt

UNICODE((Full-Length Shot)),(best quality, high quality, sharp focus:1.4), beautiful european woman, (ash white hair: 1.1), (freckles:1.1), simple background, <lora:t1ghtdr3ssx:.75> t1ghtdr3ssx, white t1ghtdr3ssx, mini dress, film, bokeh, professional, 4k, highly detailed, fujifilm XT3, analog photo, deep shadows,

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 Arczisan/minidress

Base model

runwayml/stable-diffusion-v1-5

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