Counterfeit-V3 on CivitAI vs mo-di-diffusion on Hugging Face

Counterfeit-V3.0 is a Stable Diffusion 1.x checkpoint on Civitai tuned for high-quality anime-style images. Download Counterfeit-V3.0_fp16.safetensors or the fp32 build directly from the model card and load it in any SD 1.x compatible UI.

Anime checkpoints on Civitai compete on character consistency, line quality, and prompt flexibility. Counterfeit-V3.0 builds on earlier Counterfeit V2.0 and V2.5 releases with Hugging Face links and an EasyNegative companion dataset from the same creator.

AI artists, anime illustrators, and Stable Diffusion hobbyists pick Counterfeit-V3.0 when they want a community-tested anime base model with published weight files and Civitai gallery examples rather than training from scratch.

mo-di-diffusion is a fine-tuned Stable Diffusion 1.5 checkpoint on Hugging Face that renders characters and scenes in a modern animated-film look. Creator nitrosocke trained it on screenshots from a popular animation studio using DreamBooth with prior-preservation loss and text-encoder training over 9,000 steps. Add the token modern disney style to your prompt to trigger the aesthetic.

General SD 1.5 checkpoints aim for photorealism or broad illustration styles. mo-di-diffusion narrows hard on that glossy character-animation look, which is why sample prompts for game heroes, animals, and landscapes all lean cinematic rather than photographic. The weights load through the standard Diffusers StableDiffusionPipeline, so you can run it locally, in Colab, or inside Hugging Face Spaces without a proprietary API.

Artists, hobbyists, and developers experimenting with character concepts use mo-di-diffusion when they want Disney-adjacent renders without commissioning custom model training. The model card ships Python sample code, links to Gradio demos, and notes ONNX, MPS, and FLAX export options. It is free to download under the CreativeML OpenRAIL-M license with commercial use allowed subject to the license harm restrictions.