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]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.
- Downloads last month
- -
Model tree for MarkBW/ijenz
Base model
runwayml/stable-diffusion-v1-5