---

name: curated_qwenvl_video_to_text description: > Curated ComfyUI workflow imported from QwenVL Video to Text.json. homepage: https://github.com/steliosot/comfy-agent metadata.clawdbot.os: ["darwin", "linux"] metadata.clawdbot.requires.bins: ["python3"] metadata.clawdbot.requires.env: ["COMFY_URL", "COMFY_AUTH_HEADER"] metadata.clawdbot.files: ["workflow.json", "skill.py", "skill.yaml", "scripts/*"] metadata.clawdbot.tags: ["comfyui", "workflow", "curated", "video_t2v_i2v_avatar"] metadata.clawdbot.category: "media-generation" metadata.clawdbot.input_type: "video/mp4" metadata.clawdbot.output_type: "application/json" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 70

curated_qwenvl_video_to_text

Curated workflow skill generated from QwenVL Video to Text.json.

Capability Family

• video_t2v_i2v_avatar

Inputs

• Optional runtime overrides supported by run(...):
  • prompt
  • negative_prompt
  • width, height
  • seed, steps, cfg
  • sampler_name, scheduler, denoise
  • server, headers, api_prefix

Outputs

• Returns JSON with:
  • status
  • prompt_id
  • output_images (includes image/video entries reported by Comfy history)

Model Requirements

• None detected from loader nodes.

Custom Node Requirements

• comfyui-qwenvl
• comfyui-videohelpersuite

Links Extracted From Workflow Notes

• https://discord.com/invite/gggpkVgBf3
• https://github.com/1038lab/ComfyUI-QwenVL
• https://www.youtube.com/@pixaroma

Source

• Original: comfy-data/workflows/QwenVL Video to Text.json

Routing Metadata

• Family: video_t2v_i2v_avatar
• Input modalities: video
• Output modalities: application/json
• Model families: qwen, wan
• Node count: 5
• Complexity score: 5
• Resource profile: medium
• Estimated runtime: moderate (about 30-120s depending on server)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: None

Detected Models

• None detected.

Detected Custom Nodes

• comfyui-qwenvl
• comfyui-videohelpersuite

Runtime Warnings

• Uses custom nodes; missing nodes can cause validation/runtime failures.
• Video workflow: usually slower and VRAM-intensive than still-image workflows.