gpt-img-2

12 mods across 6 repositories, 0 stars between them.

gpt-img-2/image3-prompt-mcp

Skill Claude CodeCodex

Research real GPT Image 2 prompt examples and turn rough image ideas into structured prompt packs, reference-image edit instructions, product visuals, layouts, and debugging loops. Use for prompt search, prompt rewriting, ecommerce images, readable text, posters, social creatives, character sheets, storyboards, or…

0 6d ago A 84 tokens original MIT

image3-prompt-mcp

02

gpt-img-2/image3-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "image3-prompt-mcp" as configured in gpt-img-2/image3-prompt-mcp. Runs locally from the image3-prompt-mcp npm package.

0 6d ago A tokens not measured original MIT

gpt-img-2/cdance-prompt-mcp

Skill Claude CodeCodex

Turn rough creative briefs into structured Seedance video prompt packs, reference-aware motion plans, focused variants, and debugging loops. Use for text-to-video, image-to-video, video-to-video, first-last-frame transitions, multi-shot storyboards, product ads, fashion clips, cinematic scenes, dialogue, or creator…

0 6d ago A 81 tokens original MIT

cdance-prompt-mcp

04

gpt-img-2/cdance-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "cdance-prompt-mcp" as configured in gpt-img-2/cdance-prompt-mcp. Runs locally from the cdance-prompt-mcp npm package.

0 6d ago A tokens not measured original MIT

gpt-img-2/opensora2-prompt-mcp

Skill Claude CodeCodex

Turn rough video ideas into structured OpenSora prompt packs, reference-aware motion instructions, shot plans, and focused debugging loops. Use for text-to-video, image-to-video, video-to-video, product clips, cinematic scenes, transitions, or multi-shot sequences; do not use for unrelated models, account support, or…

0 6d ago A 79 tokens original MIT

gpt-img-2/opensora2-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "opensora2-prompt-mcp" as configured in gpt-img-2/opensora2-prompt-mcp. Runs locally from the opensora2-prompt-mcp npm package.

0 6d ago A tokens not measured original MIT

gpt-img-2/chinavideoai-prompt-mcp

Skill Claude CodeCodex

Turn rough China AI video ideas into structured English or Chinese prompt packs, reference-aware motion instructions, shot plans, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product clips, cinematic scenes, transitions, or multi-shot sequences; do not use for…

0 5d ago A 83 tokens original MIT

gpt-img-2/chinavideoai-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "chinavideoai-prompt-mcp" as configured in gpt-img-2/chinavideoai-prompt-mcp. Runs locally from the chinavideoai-prompt-mcp npm package.

0 5d ago A tokens not measured original MIT

gpt-img-2/seevido-prompt-mcp

Skill Claude CodeCodex

Turn rough video ideas into structured English or Chinese prompt packs, reference-aware sequences, continuity rules, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product clips, cinematic scenes, or multi-shot work; do not use for account support, live model…

0 5d ago A 79 tokens original MIT

seevido-prompt-mcp

10

gpt-img-2/seevido-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "seevido-prompt-mcp" as configured in gpt-img-2/seevido-prompt-mcp. Runs locally from the seevido-prompt-mcp npm package.

0 5d ago A tokens not measured original MIT

gpt-img-2/see-dance-2-prompt-mcp

Skill Claude CodeCodex

Turn rough video ideas into structured English or Chinese Seedance-oriented prompt packs, exact reference bindings, shot sequences, and focused debugging loops. Use for text-to-video, image-to-video, multimodal reference, product clips, cinematic scenes, transitions, or loops; do not use for account support, live…

0 5d ago A 81 tokens original MIT

gpt-img-2/see-dance-2-prompt-mcp

MCP server Claude CodeCodexCursor +2

MCP server "see-dance-2-prompt-mcp" as configured in gpt-img-2/see-dance-2-prompt-mcp. Runs locally from the see-dance-2-prompt-mcp npm package.

0 5d ago A tokens not measured original MIT