L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

curated_ltx_0_95_image2video_with_end_frame

curated_ltx_0_95_image2video_with_end_frame

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

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: curated_ltx_0_95_image2video_with_end_frame description: > Curated ComfyUI workflow imported from LTX 0.95 image2video with 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_end_frame

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

Routing Metadata

  • Family: video_t2v_i2v_avatar
  • Input modalities: image, text_prompt
  • Output modalities: video/mp4
  • Model families: ltx
  • Node count: 21
  • 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.
Skills enregistrées