Instructions to use tsd4ss/civitai_loras_archives with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tsd4ss/civitai_loras_archives with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/ilustmix-v9-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("tsd4ss/civitai_loras_archives")

prompt = "UNICODE\u0000\u0000d\u0000e\u0000p\u0000t\u0000h\u0000 \u0000o\u0000f\u0000 \u0000f\u0000i\u0000e\u0000l\u0000d\u0000,\u0000 \u0000t\u0000o\u0000o\u0000n\u0000,\u0000 \u0000c\u0000a\u0000r\u0000t\u0000o\u0000o\u0000n\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000l\u0000i\u0000z\u0000a\u0000r\u0000d\u0000,\u0000 \u0000c\u0000o\u0000w\u0000b\u0000o\u0000y\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000h\u0000a\u0000n\u0000d\u0000 \u0000o\u0000n\u0000 \u0000h\u0000i\u0000p\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000s\u0000c\u0000a\u0000l\u0000e\u0000s\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000s\u0000t\u0000o\u0000m\u0000a\u0000c\u0000h\u0000,\u0000 \u0000l\u0000e\u0000a\u0000f\u0000 \u0000b\u0000r\u0000a\u0000,\u0000 \u0000l\u0000e\u0000a\u0000f\u0000 \u0000m\u0000i\u0000c\u0000r\u0000o\u0000s\u0000k\u0000i\u0000r\u0000t\u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000s\u0000c\u0000a\u0000l\u0000e\u0000s\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000C\u0000o\u0000r\u0000e\u0000_\u0000C\u0000o\u0000u\u0000n\u0000t\u0000e\u0000r\u0000s\u0000h\u0000a\u0000d\u0000e\u0000_\u0000V\u00000\u0000.\u00006\u0000-\u00000\u00000\u00000\u00000\u00000\u00004\u0000:\u00001\u0000.\u00001\u0000>\u0000 \u0000c\u0000o\u0000r\u0000e\u0000_\u0000c\u0000o\u0000u\u0000n\u0000t\u0000e\u0000r\u0000s\u0000h\u0000a\u0000d\u0000e\u0000,\u0000 \u0000j\u0000u\u0000n\u0000g\u0000l\u0000e\u0000,\u0000 \u0000w\u0000a\u0000t\u0000e\u0000r\u0000f\u0000a\u0000l\u0000l\u0000"
image = pipe(prompt).images[0]

Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

sdxl archive

Prompt

UNICODEdepth of field, toon, cartoon, masterpiece, highres, detailed, best quality, solo, lizard, cowboy shot, standing, hand on hip, red scales, yellow stomach, leaf bra, leaf microskirt, detailed scales, <lora:Core_Countershade_V0.6-000004:1.1> core_countershade, jungle, waterfall

Trigger words

You should use archive to trigger the image generation.

You should use sdxl to trigger the image generation.

Download model

Download them in the Files & versions tab.

Downloads last month: 3

Model tree for tsd4ss/civitai_loras_archives

Base model

KBlueLeaf/kohaku-xl-beta5

Finetuned

OnomaAIResearch/Illustrious-xl-early-release-v0

Finetuned

John6666/ilustmix-v9-sdxl

Adapter

(3)

this model