My-NSFW-Wan 1.3B fine-tune debuts on HuggingFace under Apache 2.0
A new 1.3-billion-parameter fine-tune of nsfw_wan_1.3b appeared on HuggingFace this week under an Apache 2.0 license, joining the growing roster of uncensored image models.
My-NSFW-Wan-1.3B is a 1.3-billion-parameter fine-tune built on nsfw-api's nsfw_wan_1.3b base model, released this week on HuggingFace under an Apache 2.0 license. The weights are freely available for commercial and non-commercial use without restriction. At 1.3 billion parameters, the model fits comfortably on consumer GPUs with 8–12 GB VRAM, making it accessible to practitioners running local inference without enterprise hardware.
The Wan architecture is a newer diffusion branch optimized for efficiency at smaller parameter counts. Fine-tunes like this one typically adjust the base model's attention layers, timestep schedules, or output distributions to shift aesthetic style or improve prompt adherence. The Apache 2.0 license permits modification, redistribution, and commercial deployment—the same terms that have made models like Stable Diffusion and FLUX popular in the open-weight community. As of June 7, the checkpoint shows zero downloads and zero likes, typical for a fresh upload that hasn't yet circulated through community channels.
