ICBINP | Civitai vs TrainEngine.ai

ICBINP is a Stable Diffusion 1.5 checkpoint merge built to push photorealistic image generation as far as a local SD 1.5 setup allows. The Civitai model page hosts multiple versions, with Mid 2024 as the latest major release updated in February 2025. Each variant ships as a pruned fp16 SafeTensor file with the SD-v2 840k VAE baked in, so you can load it in Automatic1111, ComfyUI, or any standard SD 1.5 interface without swapping VAEs.

Where most photorealistic checkpoints chase a single aesthetic, ICBINP grew through successive merges. It started from the RCNZ Gorilla With A Brick base, then folded in ten more photorealistic models at varying weights plus noise offset tuning. The Mid 2024 version adds a LoRA trained on Pexels stock photos merged with ICBINP Final, which tightens skin and lighting realism but still shows typical SD 1.5 quirks like cleft chin bias.

The author recommends DPM++ 3M SDE Karras or DPM++ 2M Karras at 20 to 30 steps with CFG between 2.5 and 5. Resolution sweet spot is 640x960 with a hires fix pass, though 768x1152 works if you hunt seeds to avoid duplicate heads. Beyond portraits, the checkpoint handles CGI characters and landscapes when prompted accordingly.

Downloads are free from Civitai under CreativeML Open RAIL-M. The Mid 2024 file (ICBINP_midYear.safetensors) weighs 2.21 GB and needs about 3.4 GB recommended VRAM. With 163,500+ downloads and 285 Very Positive reviews, it remains one of the most downloaded photorealistic SD 1.5 merges on the platform.

TrainEngine.ai is a browser-based image generation model trainer where you teach Stable Diffusion-style models a new subject or style with a hotword, then generate images on demand. You upload training images, pick public or private visibility, and the site handles Dreambooth-style fine-tuning plus an image generator tied to each model.

Most general image apps stop at prompting. TrainEngine.ai is built around owning a custom checkpoint: you train on SD 1.5 or SDXL, browse a public gallery of community models, and download weights as .CKPT or LoRA files for local UIs. Token packs cover training and revisions instead of a flat monthly subscription.

It fits artists, game asset makers, and hobbyists who want a repeatable visual style without running training pipelines locally. The free Trainer tier keeps public generation open while paid tokens unlock private models and heavier training runs.