| import requests | |
| import base64 | |
| # Important: the NVIDIA L40S will only support small resolutions, short length and no post-processing. | |
| # If you want those features, you might need to use the NVIDIA A100. | |
| # Use your own Inference Endpoint URL | |
| API_URL = "https://<use your own Inference Endpoint here>.endpoints.huggingface.cloud" | |
| # Use you own API token | |
| API_TOKEN = "hf_<replace by your own Hugging Face token>" | |
| def query(payload): | |
| response = requests.post(API_URL, headers={ | |
| "Accept": "application/json", | |
| "Authorization": f"Bearer {API_TOKEN}", | |
| "Content-Type": "application/json" | |
| }, json=payload) | |
| return response.json() | |
| def save_video(json_response): | |
| video_data_uri = "" | |
| try: | |
| # Extract the video data URI from the response | |
| video_data_uri = json_response["video"] | |
| except Exception as e: | |
| message = str(json_response) | |
| print(message) | |
| raise ValueError(message) | |
| # Remove the data URI prefix to get just the base64 data | |
| # Assumes format like "data:video/mp4;base64,<actual_base64_data>" | |
| base64_data = video_data_uri.split(",")[1] | |
| # Decode the base64 data | |
| video_data = base64.b64decode(base64_data) | |
| # Write the binary data to an MP4 file | |
| with open("video.mp4", "wb") as f: | |
| f.write(video_data) | |
| # Make the API call | |
| output = query({ | |
| "inputs": { | |
| "prompt": "Portrait photo, selfie of a beautiful young caucasian woman called Charlotte, wearing a pastel-blue hoodie. She is livestreaming from NYC streets. She looks straight into the camera, looking serious, and she talks. The camera is fixed, static, a medium-shot centered on her face. 4K webcam footage. Intricate details, super resolution, sharp image, award winning." | |
| }, | |
| "parameters": { | |
| # ------------------- settings for LTX-Video ----------------------- | |
| # for a vertical video look | |
| "width": 480, | |
| "height": 768, | |
| # LTX-Video requires a frame number divisible by 8, plus one frame | |
| # note: glitches might appear if you use more than 168 frames | |
| "num_frames": (8 * 14) + 1, | |
| # using 30 steps seems to be enough for most cases, otherwise use 50 for best quality | |
| # I think using a large number of steps (> 30) might create some overexposure and saturation | |
| "num_inference_steps": 40, | |
| # values between 3.0 and 4.0 are nice | |
| "guidance_scale": 3.5, | |
| # seed: -1, | |
| # ------------------- settings for Varnish ----------------------- | |
| # This will double the number of frames. | |
| # You can activate this if you want: | |
| # - a slow motion effect (in that case use double_num_frames=True and fps=24, 25 or 30) | |
| # - a HD soap / video game effect (in that case use double_num_frames=True and fps=60) | |
| "double_num_frames": True, | |
| # controls the number of frames per second | |
| # use this in combination with the num_frames and double_num_frames settings to control the duration and "feel" of your video | |
| "fps": 60, # typical values are: 24, 25, 30, 60 | |
| # upscale the video using Real-ESRGAN. | |
| # This upscaling algorithm is relatively fast, | |
| # but might create an uncanny "3D render" or "drawing" effect. | |
| "super_resolution": True, | |
| # for cosmetic purposes and get a "cinematic" feel, you can optionally add some film grain. | |
| # it is not recommended to add film grain if your theme doesn't match (film grain is great for black & white, retro looks) | |
| # and if you do, adding more than 12% will start to negatively impact file size (video codecs aren't great are compressing film grain) | |
| # 0% = no grain | |
| # 10% = a bit of grain | |
| "grain_amount": 10, # value between 0-100 | |
| # the following parameters are a work in progress | |
| "enable_audio": False, | |
| #"audio_prompt": "voices, voice, talking, speaking, speech", | |
| #"audio_negative_prompt": "", | |
| } | |
| }) | |
| # Save the video | |
| save_video(output) |