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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- people
- tool
- slider
- number of people
base_model: runwayml/stable-diffusion-v1-5
instance_prompt:
widget:
- text: 'hipster men at a bar posing for a picture '
parameters:
negative_prompt: shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
output:
url: >-
1670646.jpeg
- text: 'hipster men at a bar posing for a picture '
parameters:
negative_prompt: shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
output:
url: >-
1670739.jpeg
- text: 'hipster men at a bar posing for a picture '
parameters:
negative_prompt: shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
output:
url: >-
1670714.jpeg
- text: 'hipster men at a bar posing for a picture '
parameters:
negative_prompt: shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
output:
url: >-
1670719.jpeg
- text: 'hipster men at a bar posing for a picture '
parameters:
negative_prompt: shirtless, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
output:
url: >-
1670723.jpeg
- text: ' '
output:
url: >-
1671159.jpeg
---
# People Count Slider - LoRA
<Gallery />
## Model description
<p>Weights can swing very far on this one <strong>-8.0 to +8.0. </strong>It can do extremely large crowds the higher you go and I wanted to be able to keep granular control.<br /><br />Positive = More people</p><p>Negative = Less people<br /><br /><span style="color:rgb(193, 194, 197)">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.</span></p>
## Download model
Weights for this model are available in Safetensors format.
[Download](/ostris/people-count-slider-lora/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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