ICBINP | Civitai vs Inkpunk-Diffusion on Hugging Face

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.

Inkpunk-Diffusion is a Dreambooth-finetuned Stable Diffusion checkpoint on Hugging Face that renders bold ink-and-neon illustrations. Add the trigger token nvinkpunk to your prompt and you get a look influenced by Gorillaz, FLCL, and Yoji Shinkawa concept art. The weights ship under the CreativeML OpenRAIL-M license and run through the standard Diffusers text-to-image pipeline.

General-purpose SD checkpoints produce photorealistic output by default. Inkpunk-Diffusion narrows the aesthetic to stylized line work and saturated color palettes, which is why over 100 Hugging Face Spaces and community adapters build on top of it. You can load it locally with Diffusers, open the Gradio demo Space, or import into Draw Things and DiffusionBee without training your own LoRA.

The model card includes Colab and Kaggle notebooks plus sample images on the repo. Downloads hit roughly 400 per month with 988 community likes on the Hub. Inference Providers do not host it yet, so you run it on your own GPU, a local app, or a Hugging Face Space.