Instructions to use LyliaEngine/AmanesseWorks_v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/AmanesseWorks_v20 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("LyliaEngine/AmanesseWorks_v20") prompt = "UNICODE\u0000\u0000S\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000r\u0000a\u0000n\u0000g\u0000e\u0000,\u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000c\u0000o\u0000m\u0000p\u0000o\u0000s\u0000i\u0000t\u0000i\u0000o\u0000n\u0000,\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000,\u0000d\u0000i\u0000s\u0000t\u0000o\u0000r\u0000t\u0000i\u0000o\u0000n\u0000,\u0000e\u0000d\u0000g\u0000e\u0000 \u0000o\u0000u\u0000t\u0000-\u0000o\u0000f\u0000-\u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000m\u0000o\u0000t\u0000i\u0000o\u0000n\u0000 \u0000b\u0000l\u0000u\u0000r\u0000,\u0000h\u0000i\u0000g\u0000h\u0000 \u0000s\u0000a\u0000t\u0000u\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000 \u0000e\u0000d\u0000g\u0000e\u0000,\u0000s\u0000h\u0000a\u0000r\u0000p\u0000 \u0000e\u0000d\u0000g\u0000e\u0000,\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000,\u0000h\u0000i\u0000g\u0000h\u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000f\u0000i\u0000l\u0000t\u0000e\u0000r\u0000,\u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000 \u0000f\u0000i\u0000l\u0000t\u0000e\u0000r\u0000,\u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000 \u0000b\u0000r\u0000u\u0000s\u0000h\u0000s\u0000t\u0000r\u0000o\u0000k\u0000e\u0000s\u0000,\u0000g\u0000l\u0000o\u0000s\u0000s\u0000y\u0000,\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 5,387 Bytes
02a5a71 a899269 02a5a71 a899269 02a5a71 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/fbb04585-4836-421b-8eec-cec1788b5933.jpeg
text: "UNICODE\0\0S\0i\0m\0p\0l\0e\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0l\0a\0r\0g\0e\0 \0d\0y\0n\0a\0m\0i\0c\0 \0r\0a\0n\0g\0e\0,\0d\0y\0n\0a\0m\0i\0c\0 \0c\0o\0m\0p\0o\0s\0i\0t\0i\0o\0n\0,\0l\0i\0g\0h\0t\0 \0a\0n\0d\0 \0s\0h\0a\0d\0o\0w\0,\0d\0i\0s\0t\0o\0r\0t\0i\0o\0n\0,\0e\0d\0g\0e\0 \0o\0u\0t\0-\0o\0f\0-\0f\0o\0c\0u\0s\0,\0m\0o\0t\0i\0o\0n\0 \0b\0l\0u\0r\0,\0h\0i\0g\0h\0 \0s\0a\0t\0u\0r\0a\0t\0i\0o\0n\0 \0e\0d\0g\0e\0,\0s\0h\0a\0r\0p\0 \0e\0d\0g\0e\0,\0l\0i\0g\0h\0t\0 \0a\0n\0d\0 \0s\0h\0a\0d\0o\0w\0,\0h\0i\0g\0h\0l\0i\0g\0h\0t\0,\0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0t\0h\0e\0 \0v\0i\0e\0w\0e\0r\0,\0f\0i\0l\0t\0e\0r\0,\0t\0e\0x\0t\0u\0r\0e\0 \0f\0i\0l\0t\0e\0r\0,\0t\0e\0x\0t\0u\0r\0e\0 \0b\0r\0u\0s\0h\0s\0t\0r\0o\0k\0e\0s\0,\0g\0l\0o\0s\0s\0y\0,\0"
- output:
url: images/cec78216-0065-4adc-b418-8edf7c44912f.jpeg
text: "UNICODE\0\0S\0i\0m\0p\0l\0e\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0l\0a\0r\0g\0e\0 \0d\0y\0n\0a\0m\0i\0c\0 \0r\0a\0n\0g\0e\0,\0d\0y\0n\0a\0m\0i\0c\0 \0c\0o\0m\0p\0o\0s\0i\0t\0i\0o\0n\0,\0l\0i\0g\0h\0t\0 \0a\0n\0d\0 \0s\0h\0a\0d\0o\0w\0,\0d\0i\0s\0t\0o\0r\0t\0i\0o\0n\0,\0e\0d\0g\0e\0 \0o\0u\0t\0-\0o\0f\0-\0f\0o\0c\0u\0s\0,\0m\0o\0t\0i\0o\0n\0 \0b\0l\0u\0r\0,\0h\0i\0g\0h\0 \0s\0a\0t\0u\0r\0a\0t\0i\0o\0n\0 \0e\0d\0g\0e\0,\0s\0h\0a\0r\0p\0 \0e\0d\0g\0e\0,\0l\0i\0g\0h\0t\0 \0a\0n\0d\0 \0s\0h\0a\0d\0o\0w\0,\0h\0i\0g\0h\0l\0i\0g\0h\0t\0,\0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0t\0h\0e\0 \0v\0i\0e\0w\0e\0r\0,\0f\0i\0l\0t\0e\0r\0,\0t\0e\0x\0t\0u\0r\0e\0 \0f\0i\0l\0t\0e\0r\0,\0t\0e\0x\0t\0u\0r\0e\0 \0b\0r\0u\0s\0h\0s\0t\0r\0o\0k\0e\0s\0,\0g\0l\0o\0s\0s\0y\0,\0"
- output:
url: images/faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg
text: "UNICODE\0\0b\0a\0i\0f\0e\0i\0d\0a\0i\0w\0a\0n\0g\0,\0 \0(\09\06\0y\0o\0t\0t\0e\0a\0,\0 \0t\0a\0m\0b\0e\0r\0e\0l\0l\0a\0,\0 \04\03\0 \0p\0o\0n\0,\0 \01\0=\02\0:\00\0.\03\0)\0,\0 \0p\0o\0r\0t\0r\0a\0i\0t\0,\0 \0c\0l\0o\0s\0e\0-\0u\0p\0,\0 \0c\0o\0l\0o\0r\0f\0u\0l\0,\0 \0s\0c\0e\0n\0e\0r\0y\0,\0,\0 \0r\0o\0u\0n\0d\0 \0m\0o\0u\0t\0h\0,\0 \0s\0o\0l\0o\0,\0 \01\0g\0i\0r\0l\0,\0s\0o\0l\0o\0,\0e\0l\0f\0 \0e\0a\0r\0s\0,\0v\0e\0r\0y\0 \0l\0o\0n\0g\0 \0h\0a\0i\0r\0,\0w\0h\0i\0t\0e\0 \0h\0a\0i\0r\0,\0h\0a\0i\0r\0 \0b\0e\0t\0w\0e\0e\0n\0 \0e\0y\0e\0s\0,\0d\0i\0s\0h\0e\0v\0e\0l\0e\0d\0 \0h\0a\0i\0r\0,\0(\0m\0e\0s\0s\0y\0 \0h\0a\0i\0r\0:\01\0.\03\0)\0,\0y\0e\0l\0l\0o\0w\0 \0e\0y\0e\0s\0,\0e\0y\0e\0s\0h\0a\0d\0o\0w\0,\0l\0o\0n\0g\0 \0s\0i\0d\0e\0l\0o\0c\0k\0s\0,\0W\0h\0i\0t\0e\0 \0d\0e\0n\0s\0e\0 \0e\0y\0e\0l\0a\0s\0h\0e\0s\0,\0 \0s\0u\0n\0g\0l\0a\0s\0s\0e\0s\0,\0 \0a\0d\0j\0u\0s\0t\0i\0n\0g\0 \0e\0y\0e\0w\0e\0a\0r\0,\0 \0(\0r\0e\0f\0l\0e\0c\0t\0i\0o\0n\0:\0 \0g\0l\0o\0w\0i\0n\0g\0 \0r\0e\0f\0l\0e\0c\0t\0i\0o\0n\0s\0,\0 \0c\0o\0n\0t\0r\0a\0s\0t\0 \0l\0i\0g\0h\0t\0i\0n\0g\0,\0 \0f\0l\0o\0w\0e\0r\0 \0r\0e\0f\0l\0e\0c\0t\0i\0o\0n\0 \0i\0n\0 \0g\0l\0a\0s\0s\0e\0s\0,\0 \0g\0l\0a\0s\0s\0e\0s\0 \0r\0e\0f\0l\0e\0c\0t\0i\0o\0n\0,\0 \0f\0a\0n\0t\0a\0s\0y\0,\0 \0m\0u\0l\0t\0i\0c\0o\0l\0o\0r\0e\0d\0 \0s\0k\0y\0)\0,\0 \0s\0o\0l\0o\0,\0 \0(\0h\0a\0i\0r\0 \0b\0e\0t\0w\0e\0e\0n\0 \0e\0y\0e\0s\0:\00\0.\09\0)\0,\0 \0b\0l\0u\0r\0r\0y\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0 \0r\0e\0f\0r\0a\0c\0t\0i\0o\0n\0,\0 \0p\0r\0i\0s\0m\0a\0t\0i\0c\0 \0l\0i\0g\0h\0t\0,\0"
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
instance_prompt: None
license: cdla-permissive-2.0
---
# AmanesseWorks_v20
<Gallery />
## Model description
[[Welcome, One & All:
Duchesse was an incredible ressource to create my own model, go take it for a spin and give the author some love :) ! Comtesse Raffinée is lit too 🔥
You also need to check xperimenter's model out 👉 IlluQuaint his pics are a great source of inspiration for me!
Introducing: AMANESSE WORKS!
I'm happy and excited to share with you my second merge. The idea was to create something more flat focused but somewhat artistic nonetheless and not bother with realism too much :)! It is however capable to output some light 2,5D pics!
A simple merge of some really great flat and/or artistic models bring together for maximum power!
The Models:
Amanatsu (Illustrious) - v1.0 | Illustrious Checkpoint | Civitai
Aüngir - Aüngir-T6AO4.5 | Illustrious Checkpoint | Civitai
Duchesse - v1.0 | Illustrious Checkpoint | Civitai
Pony: People's Works - Base (NoobAI) - v8_noobEv1.1 | NoobAI Checkpoint | Civitai
VAE:
XL_VAE_C - c2 | Stable Diffusion XL VAE | Civitai
Recommended:
DPM++2M/Euler a+Karras
Resolutions: 1216x832-832x1216 or 1024x1024
Steps: Between 20-30
Guidance CFG: 3-5
I hope you will enjoy this merge.
Great thanks to the original creators, they were awesome materials to work with :D !
Big thanks to @Takah0x for the feedback and testing :)!
Thanks to everyone of over Mature Citron IL for your feedbacks, reviews, comments, tips, kind words, subs, etc... it means a lot :D !](https://civitai.com/models/1965943/amanesse-works)](https://civitai.com/models/1965943/amanesse-works)
## Source
https://civitai.com/models/1965943/amanesse-works
## Credit
https://civitai.com/user/Ziperto
## Trigger words
You should use `None` to trigger the image generation.
## Download model
[Download](/LyliaEngine/AmanesseWorks_v20/tree/main) them in the Files & versions tab.
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