Instructions to use Rand000mGuy/juvilee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rand000mGuy/juvilee with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Rand000mGuy/juvilee")

prompt = "UNICODE\u0000\u0000A\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000-\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000w\u0000a\u0000t\u0000e\u0000r\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000o\u0000f\u0000 \u0000j\u0000u\u0000v\u0000i\u0000l\u0000e\u0000e\u0000f\u0000l\u0000u\u0000x\u0000 \u0000s\u0000w\u0000i\u0000m\u0000m\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000c\u0000r\u0000y\u0000s\u0000t\u0000a\u0000l\u0000 \u0000c\u0000l\u0000e\u0000a\u0000r\u0000 \u0000p\u0000o\u0000o\u0000l\u0000.\u0000 \u0000H\u0000e\u0000r\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000i\u0000s\u0000 \u0000f\u0000l\u0000o\u0000a\u0000t\u0000i\u0000n\u0000g\u0000 \u0000a\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000a\u0000c\u0000e\u0000,\u0000 \u0000t\u0000i\u0000n\u0000y\u0000 \u0000a\u0000i\u0000r\u0000 \u0000b\u0000u\u0000b\u0000b\u0000l\u0000e\u0000s\u0000 \u0000o\u0000n\u0000 \u0000h\u0000e\u0000r\u0000 \u0000s\u0000k\u0000i\u0000n\u0000.\u0000 \u0000H\u0000e\u0000r\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000o\u0000p\u0000e\u0000n\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000.\u0000 \u0000S\u0000u\u0000n\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000r\u0000e\u0000f\u0000r\u0000a\u0000c\u0000t\u0000i\u0000o\u0000n\u0000s\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000w\u0000a\u0000t\u0000e\u0000r\u0000 \u0000s\u0000u\u0000r\u0000f\u0000a\u0000c\u0000e\u0000 \u0000c\u0000r\u0000e\u0000a\u0000t\u0000e\u0000 \u0000c\u0000a\u0000u\u0000s\u0000t\u0000i\u0000c\u0000 \u0000p\u0000a\u0000t\u0000t\u0000e\u0000r\u0000n\u0000s\u0000 \u0000o\u0000n\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000r\u0000e\u0000c\u0000k\u0000l\u0000e\u0000d\u0000 \u0000f\u0000a\u0000c\u0000e\u0000.\u0000 \u00008\u0000k\u0000 \u0000r\u0000e\u0000s\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000r\u0000a\u0000w\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000"
image = pipe(prompt).images[0]

Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

juvilee / README.md

Rand000mGuy

initial commit

66a4096 verified about 2 months ago

preview code

Raw

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	---
	tags:
	- text-to-image
	- lora
	- diffusers
	- template:diffusion-lora
	widget:
	- output:
	url: images/f99da7dd-c718-45a5-ad5e-878f66a5c27c.jpeg
	text: "UNICODE\0\0A\0 \0h\0y\0p\0e\0r\0-\0r\0e\0a\0l\0i\0s\0t\0i\0c\0 \0u\0n\0d\0e\0r\0w\0a\0t\0e\0r\0 \0s\0h\0o\0t\0 \0o\0f\0 \0j\0u\0v\0i\0l\0e\0e\0f\0l\0u\0x\0 \0s\0w\0i\0m\0m\0i\0n\0g\0 \0i\0n\0 \0a\0 \0c\0r\0y\0s\0t\0a\0l\0 \0c\0l\0e\0a\0r\0 \0p\0o\0o\0l\0.\0 \0H\0e\0r\0 \0l\0o\0n\0g\0 \0b\0l\0a\0c\0k\0 \0h\0a\0i\0r\0 \0i\0s\0 \0f\0l\0o\0a\0t\0i\0n\0g\0 \0a\0r\0o\0u\0n\0d\0 \0h\0e\0r\0 \0f\0a\0c\0e\0,\0 \0t\0i\0n\0y\0 \0a\0i\0r\0 \0b\0u\0b\0b\0l\0e\0s\0 \0o\0n\0 \0h\0e\0r\0 \0s\0k\0i\0n\0.\0 \0H\0e\0r\0 \0b\0l\0u\0e\0 \0e\0y\0e\0s\0 \0a\0r\0e\0 \0o\0p\0e\0n\0 \0a\0n\0d\0 \0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0t\0h\0e\0 \0c\0a\0m\0e\0r\0a\0.\0 \0S\0u\0n\0l\0i\0g\0h\0t\0 \0r\0e\0f\0r\0a\0c\0t\0i\0o\0n\0s\0 \0f\0r\0o\0m\0 \0t\0h\0e\0 \0w\0a\0t\0e\0r\0 \0s\0u\0r\0f\0a\0c\0e\0 \0c\0r\0e\0a\0t\0e\0 \0c\0a\0u\0s\0t\0i\0c\0 \0p\0a\0t\0t\0e\0r\0n\0s\0 \0o\0n\0 \0h\0e\0r\0 \0f\0r\0e\0c\0k\0l\0e\0d\0 \0f\0a\0c\0e\0.\0 \08\0k\0 \0r\0e\0s\0o\0l\0u\0t\0i\0o\0n\0,\0 \0r\0a\0w\0 \0p\0h\0o\0t\0o\0 \0s\0t\0y\0l\0e\0"
	base_model: Lakonik/AsymFLUX.2-klein-9B
	instance_prompt: null

	---
	# juvilee

	<Gallery />



	## Download model


	[Download](/Rand000mGuy/juvilee/tree/main) them in the Files & versions tab.