Taz Example Workflows

Taz Example Workflows is a set of LTXV 2.3 workflows for using the publisher’s LoRAs with image, text, and random-noise inputs to condition images for video, upscale latents, and create and save video outputs.

The 52-node graph includes LTXV conditioning, sampling, latent upscaling, VAE decoding, audio and video latent handling, and video saving.

Named input nodes include LoadImage, CLIPTextEncode, and RandomNoise for image, text, and random-noise inputs.

Output-related nodes include CreateVideo, SaveVideo, VAEDecode, and LTXVAudioVAEDecode.

The archive is named tazExampleWorkflows_generalWorkflowLTX23.zip, and the listed version is General workflow LTX2.3.

It is published by tazmannner379 on Civitai.

The workflow lists two node packs: comfyui-kjnodes and ComfyUI-LTXVideo.

Listed model files include dispatch23/dispatch23_v1_2-step00031000.comfy.safetensors, gemmafp8/model.safetensors, gl-23/gl-23-step00040000.comfy.safetensors, LTX-2.3 - Kermit the Frog.safetensors, and ltx-2.3_text_projection_bf16.safetensors.

Other listed files are ltx-2.3-22b-dev_transformer_only_bf16.safetensors, ltx-2.3-22b-distilled-lora-384-1.1.safetensors, ltx-2.3-spatial-upscaler-x2-1.1.safetensors, LTX23_audio_vae_bf16.safetensors, LTX23_video_vae_bf16.safetensors, and taeltx2_3.safetensors.

The base model is LTXV 2.3.

The graph includes LTXVImgToVideoConditionOnly and LTXVLatentUpsampler nodes for image-to-video conditioning and latent upscaling.

Before using it, check that the exact listed model filenames and both node packs are available in your setup.

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No license is listed, and the source description says only “Workflows for use with my loras.”