---

name: workflow_ep25_ltxv_image_to_animated_webp description: > Workflow wrapper imported from Ep25 LTXV Image to Animated WebP.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", "library", "video_t2v_i2v_avatar"] metadata.clawdbot.category: "media-generation" metadata.clawdbot.input_type: "image/png" metadata.clawdbot.output_type: "application/json" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 60

workflow_ep25_ltxv_image_to_animated_webp

Imported workflow skill generated from Ep25 LTXV Image to Animated WebP.json.

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

Model Requirements

• clip: t5xxl_fp16.safetensors -> models/clip
• checkpoint: ltx-video-2b-v0.9.safetensors -> models/checkpoints

Custom Node Requirements

• None detected.

Links

• https://www.youtube.com/@pixaroma

Routing Metadata

• Family: video_t2v_i2v_avatar
• Input modalities: image, text_prompt
• Output modalities: application/json
• Model families: ltx
• Node count: 14
• Complexity score: 6
• Resource profile: high
• Estimated runtime: slow (often 2-6 min depending on model/server load)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: None

Detected Models

• clip: t5xxl_fp16.safetensors -> models/clip
• checkpoint: ltx-video-2b-v0.9.safetensors -> models/checkpoints

Detected Custom Nodes

• None detected.

Runtime Warnings

• Large model(s) detected; ensure enough VRAM and disk space.
• Video workflow: usually slower and VRAM-intensive than still-image workflows.