Instructions to use sknightpt/maguicor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sknightpt/maguicor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sknightpt/margarida-corceiro-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sknightpt/maguicor") prompt = "UNICODE\u0000\u0000P\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000w\u0000a\u0000v\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000k\u0000o\u0000d\u0000a\u0000c\u0000h\u0000r\u0000o\u0000m\u0000e\u0000,\u0000 \u0000n\u0000e\u0000o\u0000n\u0000,\u0000c\u0000y\u0000b\u0000e\u0000r\u0000p\u0000u\u0000n\u0000k\u0000,\u0000 \u0000 \u0000 \u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000a\u0000r\u0000c\u0000o\u0000r\u0000c\u0000e\u0000i\u0000r\u0000o\u0000_\u0000x\u0000l\u0000_\u00001\u0000_\u0000s\u0000t\u0000a\u0000n\u0000d\u0000a\u0000r\u0000d\u0000_\u0000w\u0000o\u0000_\u0000c\u0000a\u0000p\u0000_\u0000m\u0000e\u0000r\u0000g\u0000e\u0000r\u0000_\u00004\u00002\u0000_\u00008\u00006\u0000_\u00009\u00006\u0000_\u00000\u00002\u0000_\u00000\u00003\u0000_\u00000\u00005\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Margarida

- Prompt
- UNICODEPhoto of a woman with long wavy hair,portrait,kodachrome, neon,cyberpunk, <lora:marcorceiro_xl_1_standard_wo_cap_merger_42_86_96_02_03_05:1>
Trigger words
You should use maguic to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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