Instructions to use Rand000mGuy/zorya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/zorya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ponpoke/flux2-klein-9b-uncensored-text-encoder", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/zorya") prompt = "UNICODE\u0000\u0000A\u0000 \u0000c\u0000a\u0000p\u0000t\u0000i\u0000v\u0000a\u0000t\u0000i\u0000n\u0000g\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000P\u0000r\u0000o\u0000 \u0000U\u0000l\u0000t\u0000r\u0000a\u0000 \u0000H\u0000i\u0000R\u0000E\u0000S\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000a\u0000n\u0000 \u0000U\u0000k\u0000r\u0000a\u0000i\u0000n\u0000i\u0000a\u0000n\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000p\u0000o\u0000r\u0000c\u0000e\u0000l\u0000a\u0000i\u0000n\u0000 \u0000s\u0000k\u0000i\u0000n\u0000 \u0000a\u0000n\u0000d\u0000 \u0000f\u0000i\u0000e\u0000r\u0000y\u0000,\u0000 \u0000v\u0000o\u0000l\u0000u\u0000m\u0000i\u0000n\u0000o\u0000u\u0000s\u0000,\u0000 \u0000v\u0000e\u0000r\u0000y\u0000 \u0000v\u0000e\u0000r\u0000y\u0000 \u0000c\u0000u\u0000r\u0000l\u0000y\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000f\u0000r\u0000a\u0000m\u0000i\u0000n\u0000g\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000a\u0000c\u0000e\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000w\u0000e\u0000a\u0000r\u0000s\u0000 \u0000a\u0000 \u0000t\u0000r\u0000a\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000v\u0000y\u0000s\u0000h\u0000y\u0000v\u0000a\u0000n\u0000k\u0000a\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000 \u0000a\u0000d\u0000o\u0000r\u0000n\u0000e\u0000d\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000r\u0000e\u0000d\u0000 \u0000f\u0000l\u0000o\u0000r\u0000a\u0000l\u0000 \u0000e\u0000m\u0000b\u0000r\u0000o\u0000i\u0000d\u0000e\u0000r\u0000y\u0000,\u0000 \u0000c\u0000o\u0000m\u0000p\u0000l\u0000e\u0000m\u0000e\u0000n\u0000t\u0000e\u0000d\u0000 \u0000b\u0000y\u0000 \u0000a\u0000 \u0000v\u0000i\u0000b\u0000r\u0000a\u0000n\u0000t\u0000 \u0000w\u0000o\u0000v\u0000e\u0000n\u0000 \u0000s\u0000a\u0000s\u0000h\u0000 \u0000t\u0000i\u0000e\u0000d\u0000 \u0000a\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000h\u0000e\u0000r\u0000 \u0000w\u0000a\u0000i\u0000s\u0000t\u0000.\u0000 \u0000D\u0000e\u0000l\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000g\u0000o\u0000l\u0000d\u0000 \u0000s\u0000u\u0000n\u0000b\u0000u\u0000r\u0000s\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000w\u0000i\u0000n\u0000 \u0000s\u0000t\u0000a\u0000r\u0000 \u0000t\u0000a\u0000t\u0000t\u0000o\u0000o\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000 \u0000o\u0000n\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000o\u0000r\u0000e\u0000a\u0000r\u0000m\u0000,\u0000 \u0000a\u0000d\u0000d\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000t\u0000o\u0000u\u0000c\u0000h\u0000 \u0000o\u0000f\u0000 \u0000m\u0000y\u0000s\u0000t\u0000i\u0000q\u0000u\u0000e\u0000.\u0000 \u0000S\u0000o\u0000f\u0000t\u0000,\u0000 \u0000d\u0000i\u0000f\u0000f\u0000u\u0000s\u0000e\u0000d\u0000 \u0000s\u0000u\u0000n\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000b\u0000a\u0000t\u0000h\u0000e\u0000s\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000v\u0000i\u0000v\u0000i\u0000d\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000 \u0000o\u0000f\u0000 \u0000h\u0000e\u0000r\u0000 \u0000a\u0000t\u0000t\u0000i\u0000r\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000p\u0000t\u0000i\u0000v\u0000a\u0000t\u0000i\u0000n\u0000g\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000-\u0000h\u0000a\u0000z\u0000e\u0000l\u0000 \u0000d\u0000e\u0000p\u0000t\u0000h\u0000s\u0000 \u0000o\u0000f\u0000 \u0000h\u0000e\u0000r\u0000 \u0000e\u0000y\u0000e\u0000s\u0000.\u0000 \u0000F\u00002\u0000K\u00009\u0000B\u0000B\u0000a\u0000b\u0000e\u0000_\u0000Z\u0000o\u0000r\u0000y\u0000a\u0000_\u0000v\u00001\u0000.\u00000\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/97deccfd-c85d-46d3-a422-8d4012eca7df.jpeg
text: "UNICODE\0\0A\0 \0c\0a\0p\0t\0i\0v\0a\0t\0i\0n\0g\0 \0p\0o\0r\0t\0r\0a\0i\0t\0 \0P\0r\0o\0 \0U\0l\0t\0r\0a\0 \0H\0i\0R\0E\0S\0 \0p\0h\0o\0t\0o\0 \0o\0f\0 \0a\0n\0 \0U\0k\0r\0a\0i\0n\0i\0a\0n\0 \0w\0o\0m\0a\0n\0 \0w\0i\0t\0h\0 \0p\0o\0r\0c\0e\0l\0a\0i\0n\0 \0s\0k\0i\0n\0 \0a\0n\0d\0 \0f\0i\0e\0r\0y\0,\0 \0v\0o\0l\0u\0m\0i\0n\0o\0u\0s\0,\0 \0v\0e\0r\0y\0 \0v\0e\0r\0y\0 \0c\0u\0r\0l\0y\0 \0r\0e\0d\0 \0h\0a\0i\0r\0 \0f\0r\0a\0m\0i\0n\0g\0 \0h\0e\0r\0 \0f\0a\0c\0e\0.\0 \0S\0h\0e\0 \0w\0e\0a\0r\0s\0 \0a\0 \0t\0r\0a\0d\0i\0t\0i\0o\0n\0a\0l\0 \0w\0h\0i\0t\0e\0 \0v\0y\0s\0h\0y\0v\0a\0n\0k\0a\0 \0d\0r\0e\0s\0s\0 \0a\0d\0o\0r\0n\0e\0d\0 \0w\0i\0t\0h\0 \0i\0n\0t\0r\0i\0c\0a\0t\0e\0 \0r\0e\0d\0 \0f\0l\0o\0r\0a\0l\0 \0e\0m\0b\0r\0o\0i\0d\0e\0r\0y\0,\0 \0c\0o\0m\0p\0l\0e\0m\0e\0n\0t\0e\0d\0 \0b\0y\0 \0a\0 \0v\0i\0b\0r\0a\0n\0t\0 \0w\0o\0v\0e\0n\0 \0s\0a\0s\0h\0 \0t\0i\0e\0d\0 \0a\0r\0o\0u\0n\0d\0 \0h\0e\0r\0 \0w\0a\0i\0s\0t\0.\0 \0D\0e\0l\0i\0c\0a\0t\0e\0 \0g\0o\0l\0d\0 \0s\0u\0n\0b\0u\0r\0s\0t\0 \0a\0n\0d\0 \0t\0w\0i\0n\0 \0s\0t\0a\0r\0 \0t\0a\0t\0t\0o\0o\0s\0 \0a\0r\0e\0 \0v\0i\0s\0i\0b\0l\0e\0 \0o\0n\0 \0h\0e\0r\0 \0f\0o\0r\0e\0a\0r\0m\0,\0 \0a\0d\0d\0i\0n\0g\0 \0a\0 \0t\0o\0u\0c\0h\0 \0o\0f\0 \0m\0y\0s\0t\0i\0q\0u\0e\0.\0 \0S\0o\0f\0t\0,\0 \0d\0i\0f\0f\0u\0s\0e\0d\0 \0s\0u\0n\0l\0i\0g\0h\0t\0 \0b\0a\0t\0h\0e\0s\0 \0t\0h\0e\0 \0s\0c\0e\0n\0e\0,\0 \0h\0i\0g\0h\0l\0i\0g\0h\0t\0i\0n\0g\0 \0t\0h\0e\0 \0v\0i\0v\0i\0d\0 \0c\0o\0l\0o\0r\0s\0 \0o\0f\0 \0h\0e\0r\0 \0a\0t\0t\0i\0r\0e\0 \0a\0n\0d\0 \0t\0h\0e\0 \0c\0a\0p\0t\0i\0v\0a\0t\0i\0n\0g\0 \0g\0r\0e\0e\0n\0-\0h\0a\0z\0e\0l\0 \0d\0e\0p\0t\0h\0s\0 \0o\0f\0 \0h\0e\0r\0 \0e\0y\0e\0s\0.\0 \0F\02\0K\09\0B\0B\0a\0b\0e\0_\0Z\0o\0r\0y\0a\0_\0v\01\0.\00\0"
base_model: ponpoke/flux2-klein-9b-uncensored-text-encoder
instance_prompt: null
zorya

- Prompt
- UNICODEA captivating portrait Pro Ultra HiRES photo of an Ukrainian woman with porcelain skin and fiery, voluminous, very very curly red hair framing her face. She wears a traditional white vyshyvanka dress adorned with intricate red floral embroidery, complemented by a vibrant woven sash tied around her waist. Delicate gold sunburst and twin star tattoos are visible on her forearm, adding a touch of mystique. Soft, diffused sunlight bathes the scene, highlighting the vivid colors of her attire and the captivating green-hazel depths of her eyes. F2K9BBabe_Zorya_v1.0
Download model
Download them in the Files & versions tab.