Phantom-video/Phantom

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1517 stars · 98 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Phantom is a subject-consistent video generation model from ByteDance that preserves reference subject identity via cross-modal alignment. It includes inference code and checkpoints (including Phantom-Wan-14B) for subject-to-video generation.

Use cases

• generate videos that preserve a reference subject's identity
• text-to-video generation with a reference image
• face identity preserving video generation
• subject-to-video generation research
• create consistent character videos from prompts

When to choose

• you need videos that keep a reference face or subject consistent
• you want open weights for subject-driven video generation research
• you use ComfyUI workflows for video generation

When to avoid

• you need lightweight or CPU-only video generation
• you want a polished end-user app rather than model code
• you need general video editing rather than generation

Facets

library · maturity active

video-processing machine-learning deep-learning deep-learning artificial-intelligence python text-to-video subject-consistency diffusion-models aigc identity-preservation video gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Phantom-video/Phantom")