<h3 id="a-ready-to-run-comfyui-workflow-for-multi-shot-talking-character-video:-one-recurring-character-across-completely-different-locations-with-the-same-face-and-the-same-voice-audio-generated-together-with-the-picture-not-dubbed.">A ready-to-run ComfyUI workflow for multi-shot talking-character video: one recurring character across completely different locations, with the same face and the same voice — audio generated together with the picture, not dubbed.</h3>The showcase video is exactly what the workflow does: five shots, five locations, one woman, one voice. Nothing carries her between shots except a single identity sentence repeated byte-identically in every prompt, plus the cross-shot memory bank this graph wires up for you.Before you dive in — a word on expectations. This is a community-built, bleeding-edge pipeline: a 22B audio+video model with cross-shot memory, running on consumer hardware. It is powerful, but it is not one-click — your first clean render will likely take some tuning to YOUR machine (VRAM, system RAM and pagefile, and which model build). No two rigs behave identically. <code>INSTRUCTIONS.md</code> in the zip covers install, per-VRAM settings, and every failure mode reported so far. If you get stuck, comment here or open a GitHub issue — I answer, I troubleshoot, and most of the fixes in this pack exist because someone reported something. You will not be left hanging.<h2 id="quick-fixes-read-this-first">Quick fixes — read this first</h2>Nearly every problem reported with this pack is one of these.<ul><li>Renders crawl; VRAM pinned at 100% Why: Without <code>fp8_scaled_mm</code> the DiT runs in bf16 — ~40 GB staged. On a 32 GB card that streams over PCIe every step. Fix: Turn <code>fp8_scaled_mm</code> ON (with a bf16 or INT8 checkpoint) and <code>sequential_offload</code> OFF — ~22 GB resident, native fp8 matmul on RTX 40/50-series. It is off by default and is the single biggest speed setting in this pack.</li><li><code>fp8_scaled_mm</code> errors — “needs the bf16 checkpoint as its source” Why: The toggle downcasts the attention/FF linears itself, so it must start from bf16. An fp8 FILE would load every tensor as fp8 — norms, tables and adalns included — and crash the denoise pipeline. Fix: Point <code>model_file</code> at the bf16 (or INT8) build. Do not pair the fp8 file with this toggle.</li><li>The fp8 file didn't speed anything up Why: With the toggles off, an fp8 checkpoint upcasts to bf16 at load. It saves download size, not memory or time. Fix: Use bf16 or INT8 + <code>fp8_scaled_mm</code> for the actual win.</li><li>The INT8 file is slow Why: You ran it without <code>fp8_scaled_mm</code>. INT8 reconstructs to bf16 at load, so on its own it is the bf16 path plus ~40 s of reconstruction. Fix: Turn <code>fp8_scaled_mm</code> ON. INT8 then behaves exactly like bf16 as a source — same ~22 GB resident — at roughly 60% of the download.</li><li>Lip sync drifts apart ~10 s into every shot Why: The wrapper's video RoPE clock was hardcoded to 24 fps while audio RoPE runs in true seconds — a 25 fps render drifts ~4%/s. Looks like a model limit; it is not. Fix: Apply the multishot patch (Bug fix #0). No checkpoint can fix it. With the patch, 60–105 s multishot masters hold sync.</li><li><code>memory_size=0</code> every shot; a new face each shot Why: With <code>enable_audio_memory</code> off, the video memory-bank save was gated on the audio latent, so the bank never filled. Fix: Fixed in the patch (Bug fix #1). Console <code>memory_size=</code> should climb 0,1,2,… up to your cap.</li><li>Quality degrades over a long run — waxy skin, smearing by the late shots Why: The memory-bank trim was a no-op when <code>memory_max_size &lt;= num_fix_frames</code>, so the bank grew unbounded. Fix: Fixed in the patch (Bug fix #1b). <code>memory_size=</code> now freezes at your cap.</li><li>A GGUF errors about VAEs Why: A GGUF is DiT-only. Fix: Keep a full bf16 checkpoint in <code>checkpoint_path</code> — it supplies the VAEs, vocoder and connectors.</li><li>Burned-in subtitles or captions Why: The DMD pipeline has no CFG, so a plain negative does nothing. Fix: Use <code>negative_prompt_video</code> / <code>negative_scale_video</code> (~0.5). Above ~0.8 it locks every shot to shot 1's composition.</li><li>The voice comes out British Why: LTX drifts British unless told otherwise. Fix: Name it in the positive: “in a casual American accent”.</li></ul><h2 id="what's-in-the-zip">What's in the zip</h2><ul><li>The workflow (11 nodes, grouped and labeled: Prompt Source → Enhance &amp; Encode → Models &amp; Reference → Generate → Finish &amp; Save)</li><li>Built-in note blocks explaining which widgets to set, which to leave alone, and what to change on bigger cards</li><li>A 2-shot example prompt file demonstrating the identity-sentence rule</li><li>A README with setup, prompt-writing guidance, and performance notes</li></ul><h2 id="what-you-need-(not-included)">What you need (not included)</h2><ul><li>Node pack: RealRebelAI's <code>ComfyUI_JoyAI_Echo_GGUF_Nodes</code> plus <a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/joyai-echo-multishot-patch">my multishot patch</a> (v1.2 or newer required)</li><li>Checkpoint: the echoVid+ltxAud surgical merge — bf16 (43 GB) or the INT8 ConvRot build (27 GB)</li><li>Text encoder: any Gemma-3-12B-it, single-file safetensors or GGUF</li></ul><h2 id="setup-is-two-things">Setup is two things</h2><ul><li>Pick your Gemma in the Model Loader's <code>gemma_file</code> dropdown.</li><li>Drop <code>example_multishot.json</code> into <code>ComfyUI/input/joyecho_prompts/</code> and pick it in the Prompt Source node. Queue.</li></ul><h2 id="everything-else-i've-published">Everything else I've published</h2><ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/joeygambino">All models on Hugging Face</a></li><li><a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/joyai-echo-multishot-patch">JoyAI-Echo multishot patch</a> — nodes, releases, issues</li><li><a target="_blank" rel="ugc" href="https://github.com/jlucasmcrell/ltx23-multishot-lite">LTX-2.3 Multishot Lite</a> — the core-node workflow</li></ul><h2 id="support-this-work">Support this work</h2>Everything I publish — workflows, merges, quants, patches — is free and stays free. The models are non-commercial by license and I have no plans to change that.If something here saved you an evening:<ul><li><a target="_blank" rel="ugc" href="https://github.com/sponsors/jlucasmcrell">GitHub Sponsors</a> — recurring, no platform cut</li><li><a target="_blank" rel="ugc" href="https://ko-fi.com/joeygambino">Ko-fi</a> — one-off, no account needed</li><li><a target="_blank" rel="ugc" href="https://liberapay.com/joeygambino">Liberapay</a> — recurring, open-source and non-profit</li></ul>Bug reports are worth as much as money. Most of the fixes in these packages exist because somebody posted a log.

JoyAI-Echo Multishot Workflow - one character, many shots, same face + voice

<pre><code>**v1.3 is a COMPLETE pack** — nodes, workflow, and example prompts in one zip, with a README_FIRST.txt that says where each piece goes. If you downloaded v1.2 and couldn't find the workflow or the example file: they were in that zip too, at the root where nobody looks. Now they live in a `workflow/` folder and the README points at everything. Nothing extra to hunt down except the models.

**Fixed: the VHS shot transition now reaches the final upscaled master.** The transition was always applied to the in-graph preview stream, but the AutoFinish worker rebuilds the master from the per-shot files — which are captured *before* the transition — so upscaled masters came out with clean, unmarked cuts at every shot boundary. You mostly wouldn't notice when consecutive shots changed location (the content sells the cut), but in same-location pieces the boundaries read as one continuous take. The worker now applies the same effect — snow, tearing bands, dropout scanlines, plus the tape-static audio hit spanning the room-tone seam — and it configures itself: the Generate node writes its transition settings to a small sidecar file each run, and the worker follows them, including `cut` and `dissolve`. No new widgets.

**Corrected: the `v2a_grad_scale` note.** The v1.2 workflow note claimed changing it degrades sync. That was wrong — the parameter is training-only and has no effect at inference. The note in the workflow now says so. (`num_fix_frames` and `audio_memory_window_size` remain genuinely tuned values; the warning stands for those.)

**After updating: open your workflow once, check the last few widgets on the Generate node (reference_zoom / resident_blocks / hires), and save.** ComfyUI maps saved widget values to widgets by position, so a graph saved under an older version of the pack can load a few trailing widgets scrambled — silently, every time — until you re-save it once against the new layout. If you have ever found yourself re-entering the same two or three values after every restart, this is why, and one save ends it.

Requires RealRebelAI's ComfyUI_JoyAI_Echo_GGUF_Nodes as the base install, same as before. Models are on the linked model listing.</code></pre>

Files with SHA256: 6081dc8283188cca1de66d7b6850a00d13606e9a72407a2b1cc351f3d55411fb