<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>**Nodes, workflow, releases and issue tracker:** https://github.com/jlucasmcrell/joyai-echo-multishot-patch

**All models on Hugging Face:** 
https://huggingface.co/joeygambino



**v1.5 — the lip-sync release. The ~10-second drift is dead.**

**Lip-sync drift past ~10 seconds: FIXED.** Since the first release, every shot's lip sync would quietly drift "off by a hair" starting around the 10-second mark — mouths slightly ahead of the audio, in every shot, on every model, at 25fps. Root cause: the pipeline's video positional clock was hardcoded to 24fps while renders played at 25, a 4% timing skew that accumulated ~40ms per second until it crossed visibility right around 10s. The clock now follows your actual `video_fps`. Verified: 361-frame shots (15 seconds) with frame-perfect sync, end to end, at both 24 and 25fps. The old workarounds — short spoken lines, keeping shots at 241 frames — are obsolete. Write long shots. Let them talk.

**Hires refine v2 — window-coherent noise.** The hires pass previously drew independent noise per processing window, which caused a subtle texture "switch" about once a second. All windows of a shot now share one noise field per denoising event: texture identity holds across the whole shot. The `hires_denoise` dropdown is now four honest modes: `subtle` / `medium` / `strong` (real synthesized detail — pores, hair, weave — at increasing strength, with a small per-frame texture-shimmer tradeoff that grows with depth), and new **`spatial`** — the LTX latent upsampler applied to the shot's own latents: fully deterministic, zero temporal shimmer, fixed 1.5x. Spatial needs canvas heights whose /32 is even (768, not 736) or the model smears one edge — that rule is in the tooltip.

**One thing to understand before touching the hires widgets: `hires_factor` is a routing switch, not a quality slider.** At 1.0 (the default and the recommendation), your master is built from the base shots with the deterministic upscale — zero detail shimmer. Above 1.0, the selected `hires_denoise` pass runs in-render and the master is built from *its* output instead. Raise it only when you deliberately want the refine's synthesized detail (with its slight per-frame texture shimmer) or the `spatial` mode (even /32 canvas dims only — 768-height, not 736). And always judge results from the `*_MASTER.mp4` file, never the in-graph preview (now saved with a `PREVIEW` prefix) — that preview's re-encode shows artifacts your master doesn't have. The full routing table is in INSTRUCTIONS.md.

**AutoFinish, smarter and cleaner.** The background master-builder now detects hires runs and assembles the master from your `shot_hires` files directly (no more double-upscaling from base). For base-res runs the default upscale is now **bicubic + contrast-adaptive sharpening** — deterministic, seconds per shot, CPU-only, and it never reshuffles fine detail the way neural per-frame upscalers do (we tested them all, including diffusion restoration models; the boring answer won a fair fight). RTX upscaling remains one click away as `rtx (legacy)` on the AutoFinish node. The master's glitch pass also re-encodes with the same clean settings as the per-shot files now, so finished masters no longer pick up B-frame quality pumping.

**Loader fix.** Quantized loads (`fp8_scaled_mm` / `fp8_transformer`) now cast stray float32 tensors correctly — fixes the `mat1 and mat2 must have the same dtype` crash some checkpoints hit at load.

---

**Also included since 1.3.1** (the v1.4 changes, which never got their own Civitai version): multiple LoRAs via a chainable LoRA Stack node with per-slot strength dropdowns; a visible, documented Reference Image node; `INSTRUCTIONS.md` in the zip — a complete manual covering install, first render, prompt-writing rules, per-VRAM settings, and a troubleshooting table for every failure mode reported so far; audio memory defaults ON (cross-shot voice consistency) with the tradeoff documented in its tooltip; `head_trim_frames` defaults to 14 (trims the unstable first half-second of each shot, where identity morph concentrates).

As always: the zip is the complete pack — nodes, workflow, example prompts, manual. Copy over your existing install, restart ComfyUI, press R.</code></pre>

Files with SHA256: 8916ec09ae09a330f7c267067db6c4e2db1cfee488bc2400e56fbcbc9e94c8ec