Spaces:
Runtime error
Runtime error
File size: 2,788 Bytes
2dd7160 9046042 2dd7160 9046042 2dd7160 f8b1478 2dd7160 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
import warnings
import gradio as gr
from transformers import pipeline
import io, base64
from PIL import Image
import numpy as np
import tensorflow as tf
import mediapy
import os
import sys
from huggingface_hub import snapshot_download
#CREDIT: this demo is based *heavily* on https://huggingface.co/spaces/osanseviero/latent-video
with warnings.catch_warnings():
warnings.simplefilter('ignore')
image_gen = gr.Interface.load("spaces/multimodalart/latentdiffusion")
os.system("git clone https://github.com/google-research/frame-interpolation")
sys.path.append("frame-interpolation")
from eval import interpolator, util
ffmpeg_path = util.get_ffmpeg_path()
mediapy.set_ffmpeg(ffmpeg_path)
model = snapshot_download(repo_id="akhaliq/frame-interpolation-film-style")
interpolator = interpolator.Interpolator(model, None)
def generate_story(choice, input_text):
query = "<BOS> <{0}> {1}".format(choice, input_text)
print(query)
generated_text = story_gen(query)
generated_text = generated_text[0]['generated_text']
generated_text = generated_text.split('> ')[2]
return generated_text
def generate_images(text, width=256, height=256, steps=50, num_images=1, diversity=4):
image_bytes = image_gen(text, steps, width, height, num_images, diversity)
# Algo from spaces/Gradio-Blocks/latent_gpt2_story/blob/main/app.py
generated_images = []
for image in image_bytes[1]:
image_str = image[0]
image_str = image_str.replace("data:image/png;base64,","")
decoded_bytes = base64.decodebytes(bytes(image_str, "utf-8"))
img = Image.open(io.BytesIO(decoded_bytes))
generated_images.append(img)
return generated_images
def generate_interpolation(text, n=4):
generated_images = []
for t in text:
generated_images.extend(generate_images(t))
frames = []
for i, g in enumerate(generated_images):
frames.append(f'frame_{i}.png')
g[i].save(frames[-1])
frames = list(util.interpolate_recursively_from_files(frames, n, interpolator))
mediapy.write_video("out.mp4", frames, fps=7)
return "out.mp4"
demo = gr.Blocks()
with demo:
x1 = gr.Textbox(placeholder='brain', label='Text 1')
x2 = gr.Textbox(placeholder='salmon', label='Text 2')
x3 = gr.Textbox(placeholder='racecar', label='Text 3')
x4 = gr.Textbox(placeholder='iguana riding a motorcycle', label='Text 4')
x5 = gr.Textbox(placeholder='computer in space', label='Text 5')
button_gen_video = gr.Button("Generate Video")
output_interpolation = gr.Video(label="Generated Video")
button_gen_video.click(fn=generate_interpolation, inputs=[x1, x2, x3, x4, x5], outputs=output_interpolation)
demo.launch(debug=True, enable_queue=True) |