let the character reference define the person
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parent
df1aa34156
commit
407e5633b8
1 changed files with 39 additions and 21 deletions
58
generate.py
58
generate.py
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@ -38,6 +38,14 @@ def public_document_url(document):
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)
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return url
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def public_video_url(item):
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url = "%s%s/download/source/?token=%s" % (
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settings.PUBLIC_URL,
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item.public_id,
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settings.PUBLIC_TOKEN,
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)
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return url
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def trim_video(src, dst, frames, start0=False):
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cap = cv2.VideoCapture(src)
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@ -379,11 +387,7 @@ def replace_character_motion_control(item, character, keep=False):
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else:
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img = character
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image_url = public_document_url(img)
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video_url = "%s%s/download/source/?token=%s" % (
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settings.PUBLIC_URL,
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item.public_id,
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settings.PUBLIC_TOKEN,
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)
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video_url = public_video_url(item)
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prompt = ""
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model = "fal-ai/kling-video/v2.6/pro/motion-control"
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prompt_hash = hashlib.sha1((prompt + image_url).encode()).hexdigest()
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@ -413,6 +417,28 @@ def replace_character_motion_control(item, character, keep=False):
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img.add(ai)
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return ai
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def describe_video_neutral(url):
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prompt = (
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"Detect cuts or scene changes and describe each scene, use as much details as you can. "
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"Describe each person incudling detalied apreance, haircut in a gender neutral way, "
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"describe each objects, animal or plant, describe foreground and backgroud, "
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"describe from what angle the scene is filmed, incude details about camera model, lense, depth of field used to film this scene. "
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"Use the format: <description of scene 1>. CAMERA CUT TO <description of scene 2>. CAMERA CUT TO <description of scene 3>. "
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"Don't mention it if you don't find a cut."
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)
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data = {
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"input": [
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{
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"role": "user",
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"content": [
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{"type": "input_video", "video_url": url, "fps": 1},
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{"type": "input_text", "text": prompt},
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],
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}
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],
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}
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response = bytedance_response(data)
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return response["output"][1]["content"][0]["text"]
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def describe_video(url):
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prompt = (
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@ -441,11 +467,7 @@ def describe_video(url):
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def describe_item(item):
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if isinstance(item, str):
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item = Item.objects.get(public_id=item)
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video_url = "%s%s/download/source/?token=%s" % (
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settings.PUBLIC_URL,
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item.public_id,
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settings.PUBLIC_TOKEN,
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)
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video_url = public_video_url(item)
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return describe_video(video_url)
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@ -454,7 +476,11 @@ def reshoot_item(item, extra_prompt=None, first_frame=None, keep=False):
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item = Item.objects.get(public_id=item)
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duration = item.sort.duration
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frames = int(duration * 24)
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if first_frame:
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prompt = describe_item_neutral(item)
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else:
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prompt = describe_item(item)
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if extra_prompt:
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prompt += " " + extra_prompt
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prompt_hash = hashlib.sha1((prompt).encode()).hexdigest()
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@ -586,11 +612,7 @@ def transform_remake_video(item_id, image_prompt, video_prompt):
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def restyle_video(item_id, prompt):
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item = Item.objects.get(public_id=item_id)
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video_url = "%s%s/download/source/?token=%s" % (
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settings.PUBLIC_URL,
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item.public_id,
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settings.PUBLIC_TOKEN,
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)
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video_url = public_video_url(item)
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model = "decart/lucy-restyle"
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handler = fal_client.submit(
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model,
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@ -628,11 +650,7 @@ def fal_wait_for(model, request_id):
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def motion_control_preprocess_image(item_id, image_prompt, video_prompt):
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item = Item.objects.get(public_id=item_id)
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video_url = "%s%s/download/source/?token=%s" % (
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settings.PUBLIC_URL,
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item.public_id,
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settings.PUBLIC_TOKEN,
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)
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video_url = public_video_url(item)
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model = "fal-ai/kling-video/v2.6/pro/motion-control"
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prompt_hash = hashlib.sha1((image_prompt + video_prompt).encode()).hexdigest()
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output = "/srv/pandora/static/power/cache/%s_%s.mp4" % (item.public_id, prompt_hash)
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