ostris/curly-hair-slider-lora

Curly Hair Slider - LoRA

Prompt

close up of the face of a beautiful woman, centered, entire head, bangs

Negative Prompt

nude, hat, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

chewbacca

Negative Prompt

nude, hat, hand, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

jimi hendrix

Negative Prompt

nude, hat, hand, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of donald trump

Negative Prompt

nude, hat, hand, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution

Prompt

photo of a blonde women (with rainbow streaks in her hair:1.1), subtle red lipstick, high detail skin,, burning house behind her , night time, award winning photo , dark eye shadow, big black glasses, cinematic, low light shot, ambient light from fire , (aliens behind her:1.5)

Negative Prompt

nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution, nose ring

Model description

• weight: -8.0 to 8.0 ( or more )

• positive: curly hair

• negative: straight hair

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('ostris/curly-hair-slider-lora', weight_name='curly_hair_slider_v1.safetensors')
image = pipeline('photo of a blonde women (with rainbow streaks in her hair:1.1), subtle red lipstick, high detail skin,, burning house behind her , night time, award winning photo , dark eye shadow, big black glasses, cinematic, low light shot, ambient light from fire , (aliens behind her:1.5)  ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers