--- 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 ## 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](/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)