LTX IMAGE to TEXT to VIDEO with STG workflow版本v4.0 (ID: 1273549)

Workflow: Input Image (or prompt) -> captioning with Florence2 to a text prompt -> prompt is used for LTX TEXT to VIDEO (this is a Text to Video workflow, see my other workflow for Image to Video)

(Creates up to 10sec clips in less than 1min. Confirmed working on 8gb VRam)

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V4.0: Support for GGUF Models

GGUF Model, VAE and Textencoder can be downloaded here:

(Model&VAE): https://huggingface.co/calcuis/ltxv-gguf/tree/main

(Clip Textencoder): https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main

(includes a GGUF Version and a GGUF+TiledVae Version for low Vram)

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V3.1: Support for model 0.9.1

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V3.0: GUI Clean up, reduced no. of custom nodes, feature to use your own prompt.

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V2.0: Introducing STG (Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling).

GUI includes two new nodes in blue:

STG settings, showing CFG, Scale and Rescale. Plus a switch to change between two layers of the model to be skipped (8 or 14 (default), chose "true" for layer 14 or "false" for layer 8)

I copied a note in the workflow with further info and usable values/limits. Feel free to experiment. In my testing, I kept the values within STG settings as default and just used the switch.

Node "Modify LTX Model" will change the model within a session, if you switch to another worklfow, make sure to hit "Free model and node cache" in comfyui to avoid interferences.

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V1.0: ComfyUI Workflow: LTX IMAGE-to-TEXT-to-VIDEO Using Florence2 Caption

This workflow transforms the input images into a prompt (Florence2 for captioning) and uses the LTX Text to Video model for video generation (Image -> Prompt -> Video)

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描述:

GGUF Models (incl. Tiled Vae)

训练词语: