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av==12.1.0

start_latent, input_image_np, video_latents, fps, height, width = video_encode(input_video, resolution, no_resize, vae, vae_batch_size=vae_batch, device=gpu)[:6]

Other optimizations

Optimization

):

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av==12.1.0

requests==2.32.4

av==14.4.0

, progress = None

672, # resolution

640, # resolution

True, # use_teacache

transformers==4.52.4

Last frame works!

Fix code

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app_endframe.py

672, # resolution

704, # resolution

[start_latent, image_encoder_last_hidden_state] = get_start_latent(input_image, height, width, vae, gpu, image_encoder, high_vram)

Optimization

app.py

app_endframe.py

print("overlapped_frames: " + str(overlapped_frames))

F1+VE

Prompts

if section_index < total_latent_sections - 1:

if section_index < total_latent_sections - 3:

if section_index < total_latent_sections - 2:

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mcp_server=False

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100

0 pos

history_pixels = soft_append_bcthw(vae_decode(real_history_latents, vae).cpu(), history_pixels, overlapped_frames)

Simplier code

real_history_latents = history_latents[:, :, :min(section_latent_frames, total_generated_latent_frames), :, :]

indices = torch.arange(0, sum([1, 16, 2, 1, latent_window_size])).unsqueeze(0)

break

prompt="",

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