AI dating photos that look like you and show your life
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Paid
Open source
Pricing
Full Profile Shoot: $39 one-time. Includes 60 photos, 15 shoots, 15 Photo Retakes, 4 unique photos per shoot, one coherent identity throughout, designed for Tinder, Hinge & Bumble profiles, no prompt engineering needed, starts with a few recent photos, one-time purchase with no subscription.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
15 complete shoots with 4 photos each
60 total high-resolution photos
15 individual Photo Retakes included
Coherent identity throughout all photos
Reference-guided likeness generation without custom model training
Requires only 4-6 casual phone selfies
Delivery guaranteed within 30 minutes
15 distinct lifestyle shoots in varied settings
Designed for Tinder, Hinge and Bumble profiles
Full copyright ownership of all generated images
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Each shoot has 4 photos from the same location, outfit and lighting so they feel connected
No prompt engineering required; three simple questions guide generation
One-time payment with no subscriptions or recurring fees
Photos designed to look natural and not obviously AI-generated
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives