Model API'si

Wan VACE 14B

Wan VACE 14B, kaynak poz dizisini rehber alarak video üretir.

Model kimliği

Her istekte bunu kullan

wan-vace-14b/pose

Çalıştır

Girdiye ücret teklifi al, bu teklifle üretimi başlat, ardından işin durumunu sorgula. Önce RAYWAKE_API_KEY değişkenini ayarla; ayrıntılar için Kimlik doğrulama sayfasına bak.

# 1. Price the exact input (quotes are valid for up to 10 minutes)
curl -s https://api.raywake.com/v1/quotes \
  -H "Authorization: Bearer $RAYWAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "wan-vace-14b/pose",
  "input": {
    "prompt": "A red ceramic cup on a wooden table, soft morning light",
    "video_url": "https://example.com/input.mp4"
  }
}'

# 2. Start the generation with the quote_id from step 1
curl -s https://api.raywake.com/v1/generate \
  -H "Authorization: Bearer $RAYWAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"model": "wan-vace-14b/pose", "quote_id": "QUOTE_ID", "input": {"prompt":"A red ceramic cup on a wooden table, soft morning light","video_url":"https://example.com/input.mp4"}}'

# 3. Poll until the status is terminal
curl -s https://api.raywake.com/v1/jobs/JOB_ID \
  -H "Authorization: Bearer $RAYWAKE_API_KEY"

Girdi

wan-vace-14b/pose girdi alanları
Alan	Tür	Açıklama
`prompt`zorunlu	string	The text prompt to guide video generation. For pose task, the prompt should describe the desired pose and action of the subject in the video.
`negative_prompt`	string	Negative prompt for video generation. Varsayılan: `letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards`
`match_input_num_frames`	boolean	If true, the number of frames in the generated video will match the number of frames in the input video. If false, the number of frames will be determined by the num_frames parameter. Varsayılan: `false`
`num_frames`	integer	Number of frames to generate. Must be between 81 to 241 (inclusive). Varsayılan: `81`
`match_input_frames_per_second`	boolean	If true, the frames per second of the generated video will match the input video. If false, the frames per second will be determined by the frames_per_second parameter. Varsayılan: `false`
`frames_per_second`	integer	Frames per second of the generated video. Must be between 5 to 30. Ignored if match_input_frames_per_second is true. Varsayılan: `16`
`seed`	integer	Random seed for reproducibility. If None, a random seed is chosen.
`resolution`	string (enum)	Resolution of the generated video. Varsayılan: `480p` Seçenekler: `480p`, `580p`, `720p`
`aspect_ratio`	string (enum)	Aspect ratio of the generated video. Varsayılan: `auto` Seçenekler: `auto`, `16:9`, `1:1`, `9:16`
`num_inference_steps`	integer	Number of inference steps for sampling. Higher values give better quality but take longer. Varsayılan: `30`
`guidance_scale`	number	Guidance scale for classifier-free guidance. Higher values encourage the model to generate images closely related to the text prompt. Varsayılan: `5`
`sampler`	string (enum)	Sampler to use for video generation. Varsayılan: `unipc` Seçenekler: `unipc`, `dpm++`, `euler`
`shift`	number	Shift parameter for video generation. Varsayılan: `5`
`video_url`zorunlu	string (URL)	URL to the source video file. Required for pose task.
`ref_image_urls`	array of image URLs	URLs to source reference image. If provided, the model will use this image as reference.
`first_frame_url`	string (image URL)	URL to the first frame of the video. If provided, the model will use this frame as a reference.
`last_frame_url`	string (image URL)	URL to the last frame of the video. If provided, the model will use this frame as a reference.
`enable_prompt_expansion`	boolean	Whether to enable prompt expansion. Varsayılan: `false`
`preprocess`	boolean	Whether to preprocess the input video. Varsayılan: `false`
`acceleration`	string (enum)	Acceleration to use for inference. Options are 'none' or 'regular'. Accelerated inference will very slightly affect output, but will be significantly faster. Varsayılan: `regular` Seçenekler: `none`, `low`, `regular`
`video_quality`	string (enum)	The quality of the generated video. Varsayılan: `high` Seçenekler: `low`, `medium`, `high`, `maximum`
`video_write_mode`	string (enum)	The write mode of the generated video. Varsayılan: `balanced` Seçenekler: `fast`, `balanced`, `small`
`num_interpolated_frames`	integer	Number of frames to interpolate between the original frames. A value of 0 means no interpolation. Varsayılan: `0`
`temporal_downsample_factor`	integer	Temporal downsample factor for the video. This is an integer value that determines how many frames to skip in the video. A value of 0 means no downsampling. For each downsample factor, one upsample factor will automatically be applied. Varsayılan: `0`
`enable_auto_downsample`	boolean	If true, the model will automatically temporally downsample the video to an appropriate frame length for the model, then will interpolate it back to the original frame length. Varsayılan: `false`
`auto_downsample_min_fps`	number	The minimum frames per second to downsample the video to. This is used to help determine the auto downsample factor to try and find the lowest detail-preserving downsample factor. The default value is appropriate for most videos, if you are using a video with very fast motion, you may need to increase this value. If your video has a very low amount of motion, you could decrease this value to allow for higher downsampling and thus longer sequences. Varsayılan: `15`
`interpolator_model`	string (enum)	The model to use for frame interpolation. Options are 'rife' or 'film'. Varsayılan: `film` Seçenekler: `rife`, `film`
`sync_mode`	boolean	If `True`, the media will be returned as a data URI and the output data won't be available in the request history. Varsayılan: `false`
`transparency_mode`	string (enum)	The transparency mode to apply to the first and last frames. This controls how the transparent areas of the first and last frames are filled. Varsayılan: `content_aware` Seçenekler: `content_aware`, `white`, `black`
`return_frames_zip`	boolean	If true, also return a ZIP file containing all generated frames. Varsayılan: `false`

Çıktı

Başarılı bir iş, sonuçlarını outputs altında listeler; dosyalar bizim tarafımızda saklanır. Tüm alanlar için İşler sayfasına bak.

İş yanıtından bir bölüm

"outputs": [
  { "type": "video", "url": "https://…", "mime_type": "video/mp4", "thumbnail_url": "https://…" }
]

Fiyatlandırma

saniye başına$0,1268/ saniye

Girdinin kesin ücreti ücret teklifinden gelir. Bakiye nasıl kesinleşir?