multishot-ugcGenerate 10 perspective/angle variations from a single image for multi-shot UGC videos. ✅ USE WHEN: - Have a hero image and need camera angle variations - Creating multi-scene UGC videos (need different shots) - Want close-ups, wide shots, side angles from one source - Building a video with scene changes ❌ DON'T USE WHEN: - Don't have a hero image yet → use morpheus-fashion-design first - Need completely different scenes/locations → use Morpheus multiple times - Just need one image → skip this step - Want to edit images manually → use nano-banana-pro INPUT: Single image (person with product) OUTPUT: 10 PNG variations with different perspectives TYPICAL PIPELINE: Morpheus → multishot-ugc → select best 4 → veed-ugc each → Remotion edit
Install via ClawdBot CLI:
clawdbot install PauldeLavallaz/multishot-ugcGenerate 10 perspective variations of an image using ComfyDeploy's MULTISHOT-UGC workflow.
Multishot-UGC takes a single image and generates 10 different variations exploring different perspectives, angles, and compositions. These variations are designed to be used in VEED lip-sync workflows to create dynamic UGC-style promotional videos with varied camera shots.
Endpoint: https://api.comfydeploy.com/api/run/deployment/queue
Deployment ID: 9ccbb29a-d982-48cc-a465-bae916f2c7fd
| Input | Description | Default |
|-------|-------------|---------|
| input_image | URL or path to the source image | Required |
| text | Description for exploration | "Explora distintas perspectivas de esta escena" |
| resolution | Output resolution | "2K" |
| aspect_ratio | Output aspect ratio | "9:16" |
uv run ~/.clawdbot/skills/multishot-ugc/scripts/generate.py \
--image "./person-with-product.png" \
--output-dir "./multishot-output" \
[--text "Custom exploration prompt"] \
[--resolution 1K|2K|4K] \
[--aspect-ratio 9:16|16:9|1:1|4:3|3:4]uv run ~/.clawdbot/skills/multishot-ugc/scripts/generate.py \
--image "https://example.com/image.png" \
--output-dir "./variations"The workflow generates 10 PNG images with variations:
1_00001_.png through 10_00001_.pngEach image explores a different perspective/angle of the original scene while maintaining subject identity and composition coherence.
uv run morpheus... --output hero.png
uv run multishot-ugc... --image hero.png --output-dir ./shots
# Review shots, then generate videos for chosen ones
uv run veed-ugc... --image ./shots/3_00001_.png --brief "..."Generated Feb 26, 2026
Brands can use a single hero image of a model with a new product to generate 10 angle variations, creating dynamic multi-scene UGC videos for social media campaigns. This saves time and cost compared to traditional photoshoots, allowing rapid content iteration.
Influencers or agencies can take one high-quality image and produce varied shots for video ads, enhancing engagement with different perspectives like close-ups and side angles. It streamlines content creation for platforms like TikTok and Instagram Reels.
Fashion brands generate multiple visual angles from a single model shot to showcase clothing details in video formats, ideal for seasonal collections or limited-edition drops. This supports quick turnaround for promotional materials.
Production studios use the skill to expand a single image into a series of shots for UGC-style video editing, reducing manual effort in scene creation. It integrates into pipelines for clients needing scalable video content.
Offer a monthly subscription service where users upload images to generate angle variations via API, targeting small businesses and influencers. Revenue comes from tiered plans based on usage volume and resolution options.
Marketing agencies bundle this skill with video editing services, charging per project for creating UGC videos from client-provided images. It adds value by speeding up production and offering customizable outputs.
License the skill to other platforms like video editing tools or e-commerce sites, earning revenue through API calls or flat licensing fees. This expands reach by embedding the functionality into existing workflows.
💬 Integration Tip
Ensure the input image is high-quality and features a clear subject to maximize output coherence; integrate early in pipelines after initial image generation for best results.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
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