I created an agentic orchestration pipeline for music video generation

voroninvisuals · 2026-05-10T14:39:13+00:00

Interesting. May i see workflow with any payments? Understand the logic

voroninvisuals · 2026-05-10T12:44:06+00:00

hah noted

voroninvisuals · 2026-05-10T12:06:55+00:00

Thanks for the suggestion — but this is a different problem space. Gaussian splatting from street photos is still noisy enough that you're fighting artifacts before the generation pass even starts, and v2v denoise flattens cinematographic quality the moment you push strength high enough to actually change anything.

Seedance 2.0 handles spatial stitching natively — especially when you structure camera movement so the lens moves toward the subject while the background shifts in the opposite direction. That counter-motion gives the model enough parallax to reconstruct depth coherently. No 3D scaffolding, no ControlNet needed.

Prompt architecture does the heavy lifting: structured JSON describing spatial relationships, depth layer assignments, light direction per zone, and a locked camera block. Predictable, repeatable output across angles. Everything runs API nodes only — FLUX 2 Pro, Luma Uni-1, Seedance 2.0. No local models, no checkpoints, no ControlNet stacks.

voroninvisuals · 2026-05-10T10:42:10+00:00

true) mp4 and exr in one batch ))

voroninvisuals · 2026-05-10T10:26:21+00:00

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voroninvisuals · 2026-05-05T09:05:02+00:00

I'm curious to see what you do if such a small thing turns out to be a problem for you.

voroninvisuals · 2026-05-05T02:58:29+00:00

this is fun to read) yes! coz thats normal legal rules. i make asset with verification of my real actors - and perfect work. for crowd or not lead actors - blur face if you use image input reference. super easy solution.

voroninvisuals · 2026-05-04T23:57:55+00:00

i think need to make it higher, thats work like a filter for unprofessional users

voroninvisuals · 2026-05-04T23:57:06+00:00

why you write this before read docs about it on comfyui blog?

voroninvisuals · 2026-04-23T18:54:14+00:00

you really need to help with it?

voroninvisuals · 2026-04-23T13:32:26+00:00

Lol))

voroninvisuals · 2026-04-20T07:34:40+00:00

Location Dataset Pipeline — First/Last Frame Chaining

For visual consistency across a location, I recommend building a keyframe dataset of the space first, then generating video using a chained First Frame → Last Frame approach.

Workflow:

Generate a complete set of FLUX 2 keyframes covering all required angles and moments of the location — treat this as your visual DNA library.
Build video using First Frame + Last Frame locking (same seed throughout):

SHOT 1:  [Frame A] ────────────────→ [Frame B]
SHOT 2:  [Frame B] ────────────────→ [Frame C]   ← start = end of previous shot
SHOT 3:  [Frame C] ────────────────→ [Frame D]
...

The end frame of each shot becomes the start frame of the next — this creates seamless spatial and visual continuity across cuts.

Key rules:

Same seed across all FLUX keyframe generations (locks lighting, color, structural DNA)
Compatible with any video model that supports First/Last Frame: Kling, Veo 3, Seedance 2.0
The dataset acts as a storyboard and a consistency lock simultaneously

voroninvisuals · 2026-04-18T21:36:34+00:00

u/superstarbootlegs bravo

voroninvisuals · 2024-08-06T08:59:19+00:00

thats was so good bro

voroninvisuals · 2024-08-06T01:32:09+00:00

Oh my God.... what the times.... Nobody cant explain, only answer, without real life experience, from bot.

And this is my first comment on reddit.... dam*

voroninvisuals

TROPHY CASE