Instructions to use mahitm/mahitm-headshots-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mahitm/mahitm-headshots-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mahitm/mahitm-headshots-v1") prompt = "mahitm-headshots-v1, professional headshot, in a suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL

- Prompt
- mahitm-headshots-v1, professional headshot, in a suit
Model description
Generate professional headshots for LinkedIn, Instagram, etc.
Trigger words
You should use professional headshot to trigger the image generation.
You should use profile picture to trigger the image generation.
You should use pfp to trigger the image generation.
You should use linkedin to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mahitm/mahitm-headshots-v1
Base model
stabilityai/stable-diffusion-xl-base-1.0