Filmation MOTU Diffusion

> 🌟 New and improved LoRA version available: https://civitai.com/models/37797/filmation-motu-lora

Fine-tuned Stable Diffusion model, based of SD 1.5, trained with art from an amazing cartoon from the 80s, Masters of the Universe. Both She-Ra & He-Man cartoons were sampled (112 images) in the training on this model.

The model may produce the same face/body curvature multiple times: this isn't entirely due to over-training. The original cartoon had to be produced within a tight timeframe so many of the characters in the show DO have the same face and body - just difference skin and clothes in the source material.

I plan to stitch together a tighter model for V2 to adjust the source training. Stay tuned for the next episode!

☕ If you enjoy this model, buy me a coffee https://ko-fi.com/3eegames

Model Usage

Use the token filmation motu style

🧾 Prompt example:

The MOTU styled woman

award winning masterpiece illustration of a woman, filmation motu style, trending on artstation, highly detailed, rendered with Unreal Engine, 8k

Negative prompt:

lowres, bad ???????, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name

Steps: 40, Sampler: DPM++ 2S a Karras, CFG scale: 7, Seed: 311713104, Size: 512x512, Model hash: c0302f10

Refined He-Man

award winning masterpiece illustration of a man, filmation motu style, trending on artstation, highly detailed

Negative prompt:

lowres, bad ???????, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name

Steps: 40, Sampler: DPM++ 2S a Karras, CFG scale: 7, Seed: 195692676, Size: 512x512, Model hash: c0302f10

🧨 Diffusers

This model can be used just like any other Stable Diffusion model.

• HuggingFace: https://huggingface.co/zuleo/filmation-motu

For more information, please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).