Instructions to use MarkBW/ijenz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/ijenz 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("MarkBW/ijenz") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000i\u0000j\u0000e\u0000n\u0000z\u0000:\u00000\u0000.\u00009\u0000>\u0000i\u0000j\u0000e\u0000n\u0000z\u0000,\u0000 \u0000,\u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000p\u0000u\u0000f\u0000f\u0000e\u0000r\u0000 \u0000j\u0000a\u0000c\u0000k\u0000e\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000e\u0000g\u0000g\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000w\u0000a\u0000y\u0000,\u0000 \u0000(\u0000g\u0000o\u0000l\u0000d\u0000e\u0000n\u0000 \u0000h\u0000o\u0000u\u0000r\u0000:\u00000\u0000.\u00005\u0000)\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: "UNICODE\0\0<\0l\0o\0r\0a\0:\0i\0j\0e\0n\0z\0:\00\0.\09\0>\0i\0j\0e\0n\0z\0,\0 \0,\0a\0 \0w\0o\0m\0a\0n\0 \0w\0e\0a\0r\0i\0n\0g\0 \0p\0u\0f\0f\0e\0r\0 \0j\0a\0c\0k\0e\0t\0 \0a\0n\0d\0 \0l\0e\0g\0g\0i\0n\0g\0s\0,\0 \0h\0i\0g\0h\0w\0a\0y\0,\0 \0(\0g\0o\0l\0d\0e\0n\0 \0h\0o\0u\0r\0:\00\0.\05\0)\0"
output:
url: images/00022-1019730802.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: ijenz
ijenz

- Prompt
- UNICODE<lora:ijenz:0.9>ijenz, ,a woman wearing puffer jacket and leggings, highway, (golden hour:0.5)
Model description
Ijenz, a Twitch streamer. A weight of 0.8 to 1 is fine.
Trigger words
You should use ijenz to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.