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curated_ltx_0_95_image2video_with_middle_and_end_frame

curated_ltx_0_95_image2video_with_middle_and_end_frame

Curated ComfyUI workflow imported from `LTX 0.95 image2video with Middle and End Frame.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: curated_ltx_0_95_image2video_with_middle_and_end_frame description: > Curated ComfyUI workflow imported from LTX 0.95 image2video with Middle and End Frame.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: "image/png" metadata.clawdbot.output_type: "video/mp4" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 70

curated_ltx_0_95_image2video_with_middle_and_end_frame

Curated workflow skill generated from LTX 0.95 image2video with Middle and End Frame.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

  • clip: t5xxl_fp16.safetensors -> models/clip
  • checkpoint: ltx-video-2b-v0.9.5.safetensors -> models/checkpoints

Custom Node Requirements

  • comfyui-videohelpersuite

Links Extracted From Workflow Notes

Source

  • Original: comfy-data/workflows/LTX 0.95 image2video with Middle and End Frame.json

Routing Metadata

  • Family: video_t2v_i2v_avatar
  • Input modalities: image, text_prompt
  • Output modalities: video/mp4
  • Model families: ltx
  • Node count: 25
  • Complexity score: 7
  • 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-v0.9.5.safetensors -> models/checkpoints

Detected Custom Nodes

  • comfyui-videohelpersuite

Runtime Warnings

  • Large model(s) detected; ensure enough VRAM and disk space.
  • Uses custom nodes; missing nodes can cause validation/runtime failures.
  • Video workflow: usually slower and VRAM-intensive than still-image workflows.
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