Stuff

.gitignore

@@ -1,2 +1,4 @@
 flagged/
-.ipynb_checkpoints/
+.ipynb_checkpoints
+.ipynb_checkpoints
+*/.ipynb_checkpoints/*

.ipynb_checkpoints/.gitignore-checkpoint

@@ -1,2 +0,0 @@
-flagged/
-.ipynb_checkpoints/

.ipynb_checkpoints/README-checkpoint.md

@@ -1,12 +0,0 @@
----
-title: Stablepod
-emoji: 🌖
-colorFrom: pink
-colorTo: red
-sdk: gradio
-sdk_version: 3.4
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

.ipynb_checkpoints/app-checkpoint.py

@@ -1,47 +0,0 @@
-import gradio as gr
-import torch
-from torch import autocast
-from diffusers import StableDiffusionPipeline
-import argparse
-from moviepy.editor import AudioFileClip, ImageClip
-
-parser = argparse.ArgumentParser()
-setshare = parser.add_argument('--setshare', default=True, action=argparse.BooleanOptionalAction)
-
-def process_inputs(prompt, audio):
-    image = get_stable_diffusion_image(prompt)
-    video = add_static_image_to_audio(image, audio)
-    return video
-
-
-
-def add_static_image_to_audio(image, audio):
-    """Create and save a video file to `output_path` after 
-    combining a static image that is located in `image_path` 
-    with an audio file in `audio_path`"""
-    # create the audio clip object
-    audio_clip = AudioFileClip(audio)
-    # create the image clip object
-    image_clip = ImageClip(image)
-    # use set_audio method from image clip to combine the audio with the image
-    video_clip = image_clip.set_audio(audio)
-    # specify the duration of the new clip to be the duration of the audio clip
-    video_clip.duration = audio.duration
-    # set the FPS to 1
-    video_clip.fps = 1
-    # write the resuling video clip
-    return video_clip
-
-def get_stable_diffusion_image(prompt):
-    model_id = "CompVis/stable-diffusion-v1-4"
-    device = "cuda"
-    pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
-    pipe = pipe.to(device)
-    with autocast("cuda"):
-        image = pipe(prompt, guidance_scale=7.5)["sample"][0]
-        print(image)
-        return image
-    
-
-iface = gr.Interface(fn=process_inputs, inputs=["text", "audio"], outputs="video")
-iface.launch(share=setshare)

README.md

@@ -1,12 +1,14 @@
 ---
 title: Stablepod
-emoji: 🌖
-colorFrom: pink
-colorTo: red
+emoji: 🎼
+colorFrom: green
+colorTo: blue
 sdk: gradio
 sdk_version: 3.4
+python_version: 3.9.7
 app_file: app.py
 pinned: false
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+s

app.py

@@ -14,7 +14,6 @@ def process_inputs(prompt, audio):
     return video
 
 
-
 def add_static_image_to_audio(image, audio):
     """Create and save a video file to `output_path` after 
     combining a static image that is located in `image_path`