Instructions to use Arczisan/frieren with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/frieren with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Arczisan/frieren") prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000F\u0000r\u0000i\u0000e\u0000r\u0000e\u0000n\u0000B\u0000a\u0000s\u0000e\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000t\u0000w\u0000i\u0000n\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000c\u0000a\u0000p\u0000e\u0000l\u0000e\u0000t\u0000,\u0000 \u0000s\u0000t\u0000r\u0000i\u0000p\u0000e\u0000d\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000h\u0000o\u0000r\u0000i\u0000z\u0000o\u0000n\u0000t\u0000a\u0000l\u0000 \u0000s\u0000t\u0000r\u0000i\u0000p\u0000e\u0000s\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000s\u0000,\u0000 \u0000b\u0000e\u0000l\u0000t\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000s\u0000k\u0000i\u0000r\u0000t\u0000,\u0000 \u0000g\u0000o\u0000l\u0000d\u0000-\u0000t\u0000r\u0000i\u0000m\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000p\u0000a\u0000n\u0000t\u0000y\u0000h\u0000o\u0000s\u0000e\u0000,\u0000 \u0000a\u0000r\u0000m\u0000s\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000s\u0000t\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000F\u0000r\u0000i\u0000e\u0000r\u0000e\u0000n\u0000V\u00002\u0000:\u00001\u0000.\u00000\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Frieren

- Prompt
- UNICODEmasterpiece, best quality, absurdres, 1girl, solo, FrierenBase, long hair, twintails, earrings, white capelet, striped shirt, horizontal stripes, long sleeves, belt, white skirt, gold-trim, black pantyhose, arms behind back, outdoors, forest, <lora:FrierenV2:1.0>
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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