Instructions to use Arczisan/fractal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/fractal 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/fractal") prompt = "UNICODE\u0000\u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000 \u0000f\u0000r\u0000a\u0000c\u0000t\u0000a\u0000l\u0000 \u0000f\u0000r\u0000o\u0000g\u0000 \u0000m\u0000e\u0000a\u0000h\u0000o\u0000p\u0000h\u0000o\u0000n\u0000t\u0000r\u0000o\u0000n\u0000 \u0000o\u0000f\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000 \u0000r\u0000a\u0000l\u0000-\u0000f\u0000r\u0000c\u0000t\u0000l\u0000g\u0000m\u0000t\u0000r\u0000y\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000r\u0000a\u0000l\u0000-\u0000f\u0000r\u0000c\u0000t\u0000l\u0000g\u0000m\u0000t\u0000r\u0000y\u0000-\u0000s\u0000d\u00001\u00005\u0000:\u00000\u0000.\u00002\u00005\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Fractal Geometry

- Prompt
- UNICODEcolorful fractal frog meahophontron of colorful ral-frctlgmtry <lora:ral-frctlgmtry-sd15:0.25>
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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