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 Settings
- Draw Things
- DiffusionBee
Download images/faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg from LyliaEngine/AmanesseWorks_v20: direct link, hf CLI and curl.
- Browser
- Download file 529 kB
-
https://huggingface.co/LyliaEngine/AmanesseWorks_v20/resolve/main/images/faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg
- Command line
-
hf download hf://LyliaEngine/AmanesseWorks_v20/images/faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg
-
curl -L -o faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg https://huggingface.co/LyliaEngine/AmanesseWorks_v20/resolve/main/images/faf39b7d-059b-43e6-b534-f245fadbbbfb.jpeg
529 kB

- Xet hash:
- 6ad7edae7cfbfe1a0631bc058b3a97aa8819184aa72d1b875c809d822047befa
- Size of remote file:
- 529 kB
- SHA256:
- bdfe9e6f95ec5e942eb441f02e2892268282f928f50851b8c62569c06ba0fca8
·
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