Instructions to use AdiCakepLabs/otti_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AdiCakepLabs/otti_v2 with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AdiCakepLabs/otti_v2")

prompt = "UNICODE\u0000\u0000o\u0000t\u0000t\u0000i\u0000,\u0000 \u0000b\u0000o\u0000y\u0000_\u0000o\u0000t\u0000t\u0000i\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000e\u0000r\u0000-\u0000s\u0000h\u0000a\u0000d\u0000e\u0000-\u0000t\u0000e\u0000a\u0000l\u0000_\u0000O\u0000t\u0000t\u0000i\u0000_\u0000e\u0000a\u0000r\u0000s\u0000,\u0000 \u0000s\u0000y\u0000m\u0000b\u0000o\u0000l\u0000-\u0000s\u0000h\u0000a\u0000p\u0000e\u0000d\u0000 \u0000p\u0000u\u0000p\u0000i\u0000l\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000o\u0000t\u0000t\u0000i\u0000_\u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000:\u0000O\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000c\u0000a\u0000r\u0000f\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\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 \u0000f\u0000u\u0000l\u0000l\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000w\u0000h\u0000i\u0000s\u0000k\u0000e\u0000r\u0000s\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000 \u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000 \u0000o\u0000t\u0000t\u0000i\u0000_\u0000b\u0000a\u0000c\u0000k\u0000_\u0000s\u0000i\u0000d\u0000e\u0000,\u0000 \u0000h\u0000e\u0000a\u0000r\u0000t\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000-\u0000l\u0000i\u0000n\u0000e\u0000_\u0000O\u0000t\u0000t\u0000i\u0000_\u0000w\u0000h\u0000i\u0000s\u0000k\u0000e\u0000r\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000o\u0000n\u0000 \u0000b\u0000a\u0000c\u0000k\u0000,\u0000 \u0000m\u0000i\u0000d\u0000d\u0000l\u0000e\u0000 \u0000f\u0000i\u0000n\u0000g\u0000e\u0000r\u0000,\u0000 \u0000c\u0000r\u0000y\u0000i\u0000n\u0000g\u0000,\u0000 \u0000n\u0000o\u0000 \u0000h\u0000u\u0000m\u0000a\u0000n\u0000s\u0000,\u0000 \u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000k\u0000n\u0000i\u0000f\u0000e\u0000"
image = pipe(prompt).images[0]

Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

otti_v2 / README.md

AdiCakepLabs

initial commit

4444c95 verified over 1 year ago

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	---
	tags:
	- text-to-image
	- lora
	- diffusers
	- template:diffusion-lora
	widget:
	- text: "UNICODE\0\0o\0t\0t\0i\0,\0 \0b\0o\0y\0_\0o\0t\0t\0i\0,\0 \0d\0a\0r\0k\0e\0r\0-\0s\0h\0a\0d\0e\0-\0t\0e\0a\0l\0_\0O\0t\0t\0i\0_\0e\0a\0r\0s\0,\0 \0s\0y\0m\0b\0o\0l\0-\0s\0h\0a\0p\0e\0d\0 \0p\0u\0p\0i\0l\0s\0,\0 \0b\0l\0a\0c\0k\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0 \0o\0t\0t\0i\0_\0h\0o\0l\0d\0i\0n\0g\0,\0 \0:\0O\0,\0 \0b\0l\0u\0e\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0 \0b\0l\0u\0e\0 \0e\0y\0e\0s\0,\0 \0b\0l\0u\0e\0 \0s\0c\0a\0r\0f\0,\0 \0c\0l\0o\0s\0e\0d\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 \0f\0u\0l\0l\0 \0b\0o\0d\0y\0,\0 \0w\0h\0i\0s\0k\0e\0r\0s\0,\0 \0c\0l\0o\0s\0e\0d\0 \0m\0o\0u\0t\0h\0,\0 \0o\0t\0t\0i\0_\0b\0a\0c\0k\0_\0s\0i\0d\0e\0,\0 \0h\0e\0a\0r\0t\0,\0 \0b\0l\0a\0c\0k\0-\0l\0i\0n\0e\0_\0O\0t\0t\0i\0_\0w\0h\0i\0s\0k\0e\0r\0s\0,\0 \0b\0l\0a\0c\0k\0 \0e\0y\0e\0s\0,\0 \0o\0n\0 \0b\0a\0c\0k\0,\0 \0m\0i\0d\0d\0l\0e\0 \0f\0i\0n\0g\0e\0r\0,\0 \0c\0r\0y\0i\0n\0g\0,\0 \0n\0o\0 \0h\0u\0m\0a\0n\0s\0,\0 \0h\0o\0l\0d\0i\0n\0g\0 \0k\0n\0i\0f\0e\0"
	output:
	url: images/Otti v2 Model 2025-01-10.png
	base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
	instance_prompt: otti
	license: apache-2.0
	---
	# otti_v2

	<Gallery />


	## Trigger words

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


	## Download model

	Weights for this model are available in Safetensors format.

	[Download](/AdiCakepLabs/otti_v2/tree/main) them in the Files & versions tab.