Hallo vs Morph Studio

Hallo generates an animated portrait video from a still image and driving speech audio. Its hierarchical audio-driven synthesis is designed to align lip, facial-expression, and pose movement with the audio, while separate inference weights let you adjust those three motion areas. The source image should be square, show a forward-facing face occupying 50%–70% of the frame, and have less than 30 degrees of rotation. Driving audio must be a clear-vocal English WAV file; background music is allowed. Inference saves an MP4 to `.cache/output.mp4` by default, with another output path available. Listed requirements are Ubuntu 20.04 or 22.04 and CUDA 12.1, with an A100 named as the tested GPU. Pretrained checkpoints and supporting models are available through Hugging Face. The project lists Linux, Windows, and self-hosted platforms, with community resources for Windows, ComfyUI, a WebUI, Docker, and RunPod. Its repository includes preprocessing and training code for multi-node and multi-GPU work. Hallo is free, open source under MIT, and its training data is English, so driving audio is limited to English.

Morph Studio is a web platform for generating images and videos from text or image prompts. Its open canvas lets users arrange, edit, and connect creations into stories, alongside an immersive prompt-based generation space. Video tools include text-to-video, image-to-video, and Video Style Transfer, which converts footage into as many as eight artistic styles. The image generator creates and transforms images from prompts or existing images. The site lists models including Wan, Kling, Seedance, FLUX, Veo, MiniMax, Hunyuan, Runway, Luma, and Imagen. Videos can reach 1080p resolution, with a maximum listed length of 0.5. The Free plan provides 75 monthly credits, two models for video generation, text-to-image generation, style transfer, and 90-day asset retention. Basic costs $12 a month for 3,000 credits; Pro costs $35 a month for 12,000, and Premier costs $90 a month for 40,000. Paid plans list 10+ models, unlimited asset retention, and commercial use. Failed video generations do not use credits.