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

Libraries

How to use rorito/perfectfullround 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("rorito/perfectfullround")

prompt = "UNICODE\u0000\u00008\u0000K\u0000,\u0000 \u0000d\u0000e\u0000p\u0000t\u0000h\u0000 \u0000o\u0000f\u0000 \u0000f\u0000i\u0000e\u0000l\u0000d\u0000,\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000e\u0000d\u0000 \u0000s\u0000u\u0000b\u0000j\u0000e\u0000c\u0000t\u0000,\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000a\u0000n\u0000g\u0000l\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000a\u0000s\u0000y\u0000m\u0000m\u0000e\u0000t\u0000r\u0000i\u0000c\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000t\u0000a\u0000n\u0000n\u0000e\u0000d\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000d\u0000i\u0000r\u0000t\u0000y\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000,\u0000 \u0000t\u0000a\u0000t\u0000t\u0000o\u0000o\u0000s\u0000,\u0000 \u0000p\u0000i\u0000e\u0000r\u0000c\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000p\u0000i\u0000e\u0000r\u0000c\u0000e\u0000d\u0000 \u0000n\u0000i\u0000p\u0000p\u0000l\u0000e\u0000s\u0000,\u0000 \u0000p\u0000i\u0000e\u0000r\u0000c\u0000e\u0000d\u0000 \u0000c\u0000l\u0000i\u0000t\u0000,\u0000 \u0000d\u0000i\u0000r\u0000t\u0000y\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000,\u0000 \u0000s\u0000t\u0000u\u0000d\u0000d\u0000e\u0000d\u0000 \u0000l\u0000e\u0000a\u0000t\u0000h\u0000e\u0000r\u0000 \u0000j\u0000a\u0000c\u0000k\u0000e\u0000t\u0000,\u0000 \u0000r\u0000i\u0000p\u0000p\u0000e\u0000d\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000,\u0000 \u0000l\u0000e\u0000a\u0000t\u0000h\u0000e\u0000r\u0000 \u0000s\u0000t\u0000r\u0000a\u0000p\u0000s\u0000,\u0000 \u0000p\u0000o\u0000s\u0000t\u0000 \u0000a\u0000p\u0000o\u0000c\u0000a\u0000l\u0000y\u0000p\u0000t\u0000i\u0000c\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000c\u0000h\u0000a\u0000i\u0000n\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000b\u0000o\u0000o\u0000t\u0000s\u0000,\u0000 \u0000c\u0000u\u0000r\u0000v\u0000y\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000m\u0000o\u0000v\u0000i\u0000e\u0000 \u0000p\u0000e\u0000r\u0000s\u0000p\u0000e\u0000c\u0000t\u0000i\u0000v\u0000e\u0000,\u0000 \u0000w\u0000a\u0000s\u0000t\u0000e\u0000l\u0000a\u0000n\u0000d\u0000,\u0000 \u0000d\u0000u\u0000s\u0000t\u0000,\u0000 \u0000E\u0000v\u0000 \u0000G\u0000a\u0000n\u0000i\u0000n\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000"
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

perfectfullround / README.md

rorito

initial commit

2132813 verified about 1 year ago

preview code

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	---
	tags:
	- text-to-image
	- lora
	- diffusers
	- template:diffusion-lora
	widget:
	- output:
	url: images/79255765.jpeg
	text: "UNICODE\0\08\0K\0,\0 \0d\0e\0p\0t\0h\0 \0o\0f\0 \0f\0i\0e\0l\0d\0,\0 \0f\0o\0c\0u\0s\0e\0d\0 \0s\0u\0b\0j\0e\0c\0t\0,\0 \0d\0y\0n\0a\0m\0i\0c\0 \0a\0n\0g\0l\0e\0,\0 \0b\0e\0s\0t\0 \0q\0u\0a\0l\0i\0t\0y\0,\0 \0a\0 \0b\0e\0a\0u\0t\0i\0f\0u\0l\0 \0w\0o\0m\0a\0n\0,\0 \0a\0s\0y\0m\0m\0e\0t\0r\0i\0c\0 \0h\0a\0i\0r\0,\0 \0t\0a\0n\0n\0e\0d\0 \0s\0k\0i\0n\0,\0 \0d\0i\0r\0t\0y\0 \0s\0k\0i\0n\0,\0 \0s\0w\0e\0a\0t\0,\0 \0t\0a\0t\0t\0o\0o\0s\0,\0 \0p\0i\0e\0r\0c\0i\0n\0g\0s\0,\0 \0p\0i\0e\0r\0c\0e\0d\0 \0n\0i\0p\0p\0l\0e\0s\0,\0 \0p\0i\0e\0r\0c\0e\0d\0 \0c\0l\0i\0t\0,\0 \0d\0i\0r\0t\0y\0 \0c\0l\0o\0t\0h\0e\0s\0,\0 \0s\0t\0u\0d\0d\0e\0d\0 \0l\0e\0a\0t\0h\0e\0r\0 \0j\0a\0c\0k\0e\0t\0,\0 \0r\0i\0p\0p\0e\0d\0 \0c\0l\0o\0t\0h\0e\0s\0,\0 \0l\0e\0a\0t\0h\0e\0r\0 \0s\0t\0r\0a\0p\0s\0,\0 \0p\0o\0s\0t\0 \0a\0p\0o\0c\0a\0l\0y\0p\0t\0i\0c\0 \0s\0t\0y\0l\0e\0,\0 \0p\0e\0r\0f\0e\0c\0t\0 \0e\0y\0e\0s\0,\0 \0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0v\0i\0e\0w\0e\0r\0,\0 \0c\0h\0a\0i\0n\0s\0,\0 \0b\0l\0a\0c\0k\0 \0b\0o\0o\0t\0s\0,\0 \0c\0u\0r\0v\0y\0 \0b\0o\0d\0y\0,\0 \0m\0o\0v\0i\0e\0 \0p\0e\0r\0s\0p\0e\0c\0t\0i\0v\0e\0,\0 \0w\0a\0s\0t\0e\0l\0a\0n\0d\0,\0 \0d\0u\0s\0t\0,\0 \0E\0v\0 \0G\0a\0n\0i\0n\0 \0s\0t\0y\0l\0e\0"
	base_model: black-forest-labs/FLUX.1-dev
	instance_prompt: woman
	license: apache-2.0
	---
	# perfectfullround

	<Gallery />

	## Model description

	work

	## Trigger words

	You should use `woman` to trigger the image generation.


	## Download model


	[Download](/rorito/perfectfullround/tree/main) them in the Files & versions tab.