Spaces:
Running
on
Zero
Running
on
Zero
Link
Browse files
app.py
CHANGED
@@ -1535,7 +1535,7 @@ def process_on_gpu(input_image, end_image, image_position, prompts, generation_m
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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-
"You can upscale the result with
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break
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def process(input_image,
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@@ -1649,7 +1649,7 @@ def process_video_on_gpu(input_video, prompts, n_prompt, seed, batch, resolution
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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-
" You can upscale the result with
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break
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def process_video(input_video, prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch):
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@@ -1731,7 +1731,7 @@ def process_video_end_on_gpu(input_video, end_image, prompts, n_prompt, seed, ba
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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-
" You can upscale the result with
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break
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def process_video_end(input_video, end_image, prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch):
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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+
"You can upscale the result with https://huggingface.co/spaces/Nick088/Real-ESRGAN_Pytorch. To make all your generated scenes consistent, you can then apply a face swap on the main character. If you do not see the generated video above, the process may have failed. See the logs for more information. If you see an error like ''NVML_SUCCESS == r INTERNAL ASSERT FAILED'', you probably haven't enough VRAM. Test an example or other options to compare. You can share your inputs to the original space or set your space in public for a peer review.", gr.update(interactive=True), gr.update(interactive=False), gr.update(visible = False)
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break
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def process(input_image,
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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+
" You can upscale the result with https://huggingface.co/spaces/Nick088/Real-ESRGAN_Pytorch. To make all your generated scenes consistent, you can then apply a face swap on the main character. If you do not see the generated video above, the process may have failed. See the logs for more information. If you see an error like ''NVML_SUCCESS == r INTERNAL ASSERT FAILED'', you probably haven't enough VRAM. Test an example or other options to compare. You can share your inputs to the original space or set your space in public for a peer review.", '', gr.update(interactive=True), gr.update(interactive=False), gr.update(visible = False)
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break
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def process_video(input_video, prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch):
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((str(hours) + " h, ") if hours != 0 else "") + \
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((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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str(secondes) + " sec. " + \
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+
" You can upscale the result with https://huggingface.co/spaces/Nick088/Real-ESRGAN_Pytorch. To make all your generated scenes consistent, you can then apply a face swap on the main character. If you do not see the generated video above, the process may have failed. See the logs for more information. If you see an error like ''NVML_SUCCESS == r INTERNAL ASSERT FAILED'', you probably haven't enough VRAM. Test an example or other options to compare. You can share your inputs to the original space or set your space in public for a peer review.", '', gr.update(interactive=True), gr.update(interactive=False), gr.update(visible = False)
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break
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def process_video_end(input_video, end_image, prompt, n_prompt, randomize_seed, seed, auto_allocation, allocation_time, batch, resolution, total_second_length, latent_window_size, steps, cfg, gs, rs, gpu_memory_preservation, enable_preview, use_teacache, no_resize, mp4_crf, num_clean_frames, vae_batch):
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