![]() ![]() Now all that is left is converting all the generated images into a single video. To speed up the process the code is made such that the prompts can be handled in batches. generate_image ( encoding_batch, batch_size = len ( encoding_batch ), num_steps = 25, diffusion_noise = noise, unconditional_guidance_scale = unconditional_guidance_scale, ) images_batch = i += len ( images_batch ) all_images += images_batch pbar. gather ( interp_encodings, index ) images_batch = encoding_batch images = model. ![]() range ( batch, min ( batch + batch_size, steps )) encoding_batch = tf. linspace ( enc_prev, enc, steps ) enc_prev = enc for batch in range ( 0, steps, batch_size ): index = tf. Lyrics: Every night in my dreams I see you, I feel you, That is how I know you go on Far across the distance And spaces between us You have come to show you. ![]() encode_text ( prompt )) interp_encodings = tf. tqdm ( total = sum ( num_frames )) as pbar : for j, ( prompt, steps ) in enumerate ( zip ( prompts, num_frames )): enc = tf. All our blood lying on the floor Sense the crowd expecting something more Opened up, proudly on display What we tried so hard to hide away Blinding light illuminates the scene Try to fill 'The Spaces In Between' Arms entwined in a final pose Narrative drawing to a close Still. encode_text ( prompts )) i = 0 all_images = with tqdm. Watch: New Singing Lesson Videos Can Make Anyone A Great Singer. Num_frames += prompts += ] enc_prev = tf. normal (( img_height // 8, img_width // 8, 4 ), seed = seed ) # repeat last frame Every kind of definition has an in-between space. StableDiffusion ( jit_compile = True, img_width = img_width, img_height = img_height ) noise = tf. Not only between nature and architecture, but also between inside and outside. set_global_policy ( "mixed_float16" ) # Instantiate the Stable Diffusion model # (only do this if you have a recent NVIDIA GPU) ![]()
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