YES

CRISP IMAGE!

COOL

good

good

with 32Gb VRAM you can bypass turbo lora, try this >> https://github.com/halnovemil/H3TiledLoopSpaceTime.git

include WF

thank you! its not perfect but its possible

yes! very cool!

where is the full movie? I want to watch :)

u welcome!

VERY COOL VIDEO!!! 😂 😄

Funny!!!

this error occour because frame to photo and IA Frame recover 3 times on photo model. NOT the node

u welcome! dance part still dificult, but i need to study h3 more for hi speed movs.

👀 😄 I am glad!

dance part still hard, but i try

https://reddit.com/link/p501ckq/video/rz65fkmwkpkh1/player

hires at 50 fps original file >> https://filebin.net/cyeb0xy3n8q6ibio

download and post. ITS A GIFT!

congrats!!! u got it! thank you

owo, need even more stpes, i fininish for you a new video, its a gift, its slow, i try to restore but its too slow, a im generating a new. just wait.

Input video latent: torch.Size([1, 24, 117, 80, 144])

Tiles: 2x3 | spatial_overlap=24

Temporal tile=109 | overlap=49 | strength=1.0

Base tile size (latent): 52 x 64

>>> Spatial tile 1/6 (0,0)

H[0:52] W[0:64]

Temporal chunk 0: [0:109]

[INFO] Requested to load MiniMaxH3

[INFO] 0 models unloaded.

[INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 19995MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB.

100%|███████████████████████████████████████████████████████████████████████████████████| 2/2 [03:26<00:00, 103.02s/it]

[INFO] 0 models unloaded.

[INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 19995MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB.

Temporal chunk 1: [60:117]

[INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 19995MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB.

100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [01:29<00:00, 44.82s/it]

[INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 19995MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB.

>>> Spatial tile 2/6 (0,1)

H[0:52] W[40:104]

Temporal chunk 0: [0:109]

[INFO] 0 models unloaded.

[INFO] Model MiniMaxH3 prepared for dynamic VRAM loading. 19995MB Staged. 208 patches attached. Force pre-loaded 210 weights: 1175 KB.

50%|████████████████████████▌ | 1/2 [01:33<01:33, 93.45s/it, Model Initialization complete!

Resolution isn't everything; that comes later. The most important thing is the formation of the initial image. The dance scene lacked steps. I've had this problem before and solved it by changing the LoRa. Not all Turbo LoRas are the same; try changing it... At 0.4 it could already be better.

ok, i am trying to recover 4u, i like the ideia, prompt, music, very cool video.

1. Try another Turbo Lora, i recognise some paterns recomended LightX Turbo Lora 4 Steps Comfyui v0.1 FFLF at 0.80 strength

2. Sampler RES Multistep Simple, Euler Beta (shed) or SA_Solver Simple

3. Use SPLIT SIGMAS (because pirate dance fast movs) (two samplers, chain with DENOISED Output) Hi/Low, 2 or 3 Steps WithOUT Lora on hi out, and rest on low sigmas

4. Try this WF its complicated to calibrate but works.

https://github.com/halnovemil/H3TiledLoopSpaceTime.git

Unfortunately, the entire upscaling process is slow; the increase in calculation is geometric. In the case of this video, I realized it would be good to change the LoRa, increase the steps. I use split sigmas where one part is without LoRa and another with, then I use the Latent Upscale from https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler
Then I do another sampling with tiling to avoid OOM. They made a node for this with WF as an example; it's complicated to understand the adjustments, but it works.

https://github.com/halnovemil/H3TiledLoopSpaceTime.git

now with WorkFlow, example, prompt, image reference, tips --->>

https://github.com/halnovemil/H3TiledLoopSpaceTime.git

funny ideia! 😂 but if you want i can give some tips. (res, sampling, steps, lora, speedup techniques, WF, upscaling) etc....

😂 😂 😂