One prompt to generate or edit images/videos — short films, MVs, style transfer
AI Image & Video Generation is a multimodal creative production skill on EasyClaw that converts text prompts and instructions into images and videos — including text-to-video generation, element replacement in existing videos, style transfer, and rapid image creation. It handles the full generation pipeline: submitting the prompt to the appropriate AI model, polling for completion, and returning the finished asset link.
The skill is designed for content creators, social media managers, marketers, product designers, and developers who need AI-generated visual assets without managing model APIs, handling polling logic, or navigating separate generation platforms for each media type.
The expected outcome is a generated image or video link returned directly in your EasyClaw conversation — ready to download, embed, or share — within a single workflow that requires only a description of what you want.
1. Prompt input. Describe what you want to create: a scene, a style, a subject, or a transformation instruction. The skill accepts both simple requests ("draw me a cat") and detailed creative briefs ("10-second cyberpunk city night scene with neon reflections in rain puddles, cinematic camera movement").
2. Model selection. Based on the request type — still image vs. video, generation vs. editing vs. style transfer — the skill routes to the appropriate underlying AI model automatically.
3. Generation job submission. The prompt is submitted to the model backend. For video generation (which takes longer), a job is queued and the skill begins polling for completion.
4. Progress polling. For longer tasks, the skill polls the backend at intervals and reports progress status. When generation completes, the asset is available immediately.
5. Asset delivery. The finished image or video link is returned directly in the conversation, along with a canvas URL for further editing if applicable.
- Text-to-video: Generate videos from text descriptions — specify scene, style, duration, and camera movement.
- Text-to-image: Instant image generation from any description — from simple sketches to detailed creative briefs.
- Element swap: Replace specific elements in existing videos — swap objects, characters, or visual motifs.
- Style transfer: Apply a visual style to existing images or video footage.
- Short film and MV generation: Create longer-form video content including music video-style sequences.
- Async handling: Automatic progress polling for longer generation tasks — no manual status checking required.
1. Generating a scene video for content production
A social media manager needs a 10-second cyberpunk city night scene for a brand campaign. They describe the scene in EasyClaw, and the skill generates the video, polls for completion, and returns the link — no Runway, Sora, or Kling account required.
2. Quick image generation for mockups
A product designer needs a rough concept visual for a client presentation. They describe the concept and receive a generated image in seconds — fast enough to iterate on the brief during the meeting.
3. Video element replacement
A video editor has footage with paper boats floating in a river and wants to replace them with red hearts for a Valentine's campaign. They provide the video and the instruction, and the skill handles the element swap — returning the modified video without manual frame-by-frame editing.
4. Creating music video sequences
A musician needs visual content for a lyric video. They describe the visual themes and mood, and the skill generates a sequence of matching images or a video clip suitable for MV production.
5. Rapid iteration on creative concepts
An advertising creative director tests 5 different visual directions for a campaign concept in a single EasyClaw session — generating one image per concept description in seconds, rather than commissioning illustration for each idea.
A content creator is producing a short-form video for a tech brand's social channels and needs a futuristic cityscape sequence.
1. They open EasyClaw and activate AI Image & Video Generation.
2. They type: *"Generate a 10-second cyberpunk city night scene video — neon lights, rain, cinematic wide shot slowly pushing forward."*
3. The skill submits the generation job and confirms it's processing.
4. After polling, it returns: video link + canvas URL for further editing.
5. They review the result and ask: *"Same scene but add a figure standing in the foreground, silhouetted."*
6. A second version is generated with the requested modification.
No platform account management. Generating AI video currently requires accounts on Runway, Kling, Sora, or similar platforms — each with their own interfaces, credits, and workflows. This skill provides access through EasyClaw without managing separate platform relationships.
Async handling built in. Video generation can take 30 seconds to several minutes. The skill handles the polling loop automatically, freeing you to continue other work and returning the result when ready.
Text-to-asset in one step. The full pipeline from prompt to shareable asset link happens within a single conversation turn — no exporting, uploading, or format conversion required.
Iteration within the same context. Requesting variations on a generated asset happens in the same conversation — the skill retains the creative context and can apply modifications, style changes, or element adjustments without re-describing the full brief.
Multiple asset types from one interface. Images, videos, element swaps, and style transfers are all available through the same skill — no learning curve for different platforms for different asset types.
- Be specific about style, duration, and camera movement for videos. "10-second video, wide establishing shot, slow zoom in, cinematic color grading" produces more directionally consistent results than "a cool video of a city."
- For element swaps, provide the original video as a URL or file. The skill needs the source asset to perform element replacement — describe both the source element and the target element clearly.
- Iterate with small, specific changes. Rather than regenerating from scratch with a completely different prompt, describe the specific change you want from the previous result. This maintains visual consistency across iterations.
- Use image generation to test concepts before video. Video generation takes longer and consumes more resources. Test the visual direction with a still image first, confirm the aesthetic, then generate the video version.
- Specify aspect ratio for social media assets. Different platforms have different optimal aspect ratios (16:9 for YouTube, 9:16 for TikTok/Reels, 1:1 for feed posts). Including the aspect ratio in your prompt improves output usability.
The skill routes to appropriate models based on the generation type. The specific models used depend on EasyClaw's current backend integrations and are subject to updates as new models become available. The skill always routes to the most capable available model for each task type.
Video generation typically takes 30 seconds to 5 minutes depending on length, complexity, and current model load. The skill polls automatically and delivers the result when ready — you don't need to wait actively.
Maximum video length depends on the underlying model. Currently, generations up to 10–15 seconds are reliably supported. Longer sequences can be produced by generating and concatenating multiple segments.
Yes. Specify the aspect ratio or intended platform in your prompt — "16:9 landscape," "square 1:1," "9:16 vertical for TikTok" — and the skill applies the appropriate dimensions.
Element swap replaces a defined visual element in a video with a specified alternative. "Replace all paper boats with red hearts" is a clear instruction. More complex replacements — "replace the background but keep the subject" — are supported but results vary with scene complexity.
Yes. Provide an image URL as a style reference alongside your text description to guide the aesthetic direction of the generated output.
Commercial usage rights depend on the underlying model's terms of service. The skill delivers the asset; usage rights are governed by the model provider's policies. Check the specific model's commercial use terms before using generated assets in commercial contexts.
Most AI generation models apply restrictions to realistic human face generation to prevent misuse. Stylized or illustrative characters are well-supported; photorealistic specific individuals are restricted.
Images are typically returned as JPEG or PNG links. Videos are returned as MP4 links. The canvas URL provides access to an editing environment for further modification.
Current video generation produces visuals only. For video with synchronized audio or music, the generated video would need to be combined with audio in a separate editing step.
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