Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -347,21 +347,15 @@ def video_generation_handler_streaming(prompt, seed=42, fps=15, save_frames=True
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rnd = torch.Generator(gpu).manual_seed(int(seed))
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pipeline._initialize_kv_cache(1, torch.float16, device=gpu)
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pipeline._initialize_crossattn_cache(1, torch.float16, device=gpu)
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num_blocks = 9
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current_start_frame = 0
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all_num_frames = [pipeline.num_frame_per_block] * num_blocks
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# Calculate total frames needed for your desired number of blocks
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total_frames = num_blocks * pipeline.num_frame_per_block
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noise = torch.randn([1, total_frames, 16, 60, 104], device=gpu, dtype=torch.float16, generator=rnd)
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vae_cache, latents_cache = None, None
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if not APP_STATE["current_use_taehv"] and not args.trt:
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vae_cache = [c.to(device=gpu, dtype=torch.float16) for c in ZERO_VAE_CACHE]
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total_frames_yielded = 0
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rnd = torch.Generator(gpu).manual_seed(int(seed))
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pipeline._initialize_kv_cache(1, torch.float16, device=gpu)
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pipeline._initialize_crossattn_cache(1, torch.float16, device=gpu)
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noise = torch.randn([1, 21, 16, 60, 104], device=gpu, dtype=torch.float16, generator=rnd)
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vae_cache, latents_cache = None, None
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if not APP_STATE["current_use_taehv"] and not args.trt:
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vae_cache = [c.to(device=gpu, dtype=torch.float16) for c in ZERO_VAE_CACHE]
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num_blocks = 7
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current_start_frame = 0
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all_num_frames = [pipeline.num_frame_per_block] * num_blocks
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total_frames_yielded = 0
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