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People Count Slider - LoRA

Prompt
hipster men at a bar posing for a picture
Negative Prompt
shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
Prompt
hipster men at a bar posing for a picture
Negative Prompt
shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
Prompt
hipster men at a bar posing for a picture
Negative Prompt
shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
Prompt
hipster men at a bar posing for a picture
Negative Prompt
shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
Prompt
hipster men at a bar posing for a picture
Negative Prompt
shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
Prompt

Model description

Weights can swing very far on this one -8.0 to +8.0. It can do extremely large crowds the higher you go and I wanted to be able to keep granular control.

Positive = More people

Negative = Less people

Simple LoRA to help with adjusting the number of people in a picture. You can swing it both ways pretty far out from -8 to +8 without much distortion.

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/people-count-slider-lora', weight_name='people_count_slider_v1.safetensors')
image = pipeline('Your custom prompt').images[0]

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

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