π¦ ClawHub
Aliyun Pixverse Generation
by @cinience
Use when generating videos with Alibaba Cloud Model Studio PixVerse models (`pixverse/pixverse-v5.6-t2v`, `pixverse/pixverse-v5.6-it2v`, `pixverse/pixverse-v...
TERMINAL
clawhub install aliyun-pixverse-generationπ About This Skill
name: aliyun-pixverse-generation description: Use when generating videos with Alibaba Cloud Model Studio PixVerse models (
pixverse/pixverse-v5.6-t2v, pixverse/pixverse-v5.6-it2v, pixverse/pixverse-v5.6-kf2v, pixverse/pixverse-v5.6-r2v). Use when building non-Wan text-to-video, first-frame image-to-video, keyframe-to-video, or multi-image reference-to-video workflows on Model Studio.
version: 1.0.0
Category: provider
Model Studio Aishi Video Generation
Validation
mkdir -p output/aliyun-pixverse-generation
python -m py_compile skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py && echo "py_compile_ok" > output/aliyun-pixverse-generation/validate.txt
Pass criteria: command exits 0 and output/aliyun-pixverse-generation/validate.txt is generated.
Output And Evidence
output/aliyun-pixverse-generation/.Use Aishi when the user explicitly wants the non-Wan PixVerse family for video generation.
Critical model names
Use one of these exact model strings:
pixverse/pixverse-v5.6-t2vpixverse/pixverse-v5.6-it2vpixverse/pixverse-v5.6-kf2vpixverse/pixverse-v5.6-r2vSelection guidance:
pixverse/pixverse-v5.6-t2v for text-only generation.pixverse/pixverse-v5.6-it2v for first-frame image-to-video.pixverse/pixverse-v5.6-kf2v for first-frame + last-frame transitions.pixverse/pixverse-v5.6-r2v for multi-image character/style consistency.Prerequisites
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.Normalized interface (video.generate)
Request
model (string, required)prompt (string, optional for it2v, required for other variants)media (arraysize (string, optional): direct pixel size such as 1280*720, used by t2v and r2vresolution (string, optional): 360P/540P/720P/1080P, used by it2v and kf2vduration (int, required): 5/8/10, except 1080P only supports 5/8audio (bool, optional)watermark (bool, optional)seed (int, optional)Response
task_id (string)task_status (string)video_url (string, when finished)Endpoint and execution model
POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesisGET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}X-DashScope-Async: enable.Quick start
Text-to-video:
python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \
--model pixverse/pixverse-v5.6-t2v \
--prompt "A compact robot walks through a rainy neon alley." \
--size 1280*720 \
--duration 5
Image-to-video:
python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \
--model pixverse/pixverse-v5.6-it2v \
--prompt "The turtle swims slowly as the camera rises." \
--media image_url=https://example.com/turtle.webp \
--resolution 720P \
--duration 5
Operational guidance
t2v and r2v use size; it2v and kf2v use resolution.kf2v, provide exactly one first_frame and one last_frame.r2v, you can pass up to 7 reference images.Output location
output/aliyun-pixverse-generation/request.jsonOUTPUT_DIR.References
references/sources.mdπ‘ Examples
Text-to-video:
python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \
--model pixverse/pixverse-v5.6-t2v \
--prompt "A compact robot walks through a rainy neon alley." \
--size 1280*720 \
--duration 5
Image-to-video:
python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \
--model pixverse/pixverse-v5.6-it2v \
--prompt "The turtle swims slowly as the camera rises." \
--media image_url=https://example.com/turtle.webp \
--resolution 720P \
--duration 5
βοΈ Configuration
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.π Constraints
mkdir -p output/aliyun-pixverse-generation
python -m py_compile skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py && echo "py_compile_ok" > output/aliyun-pixverse-generation/validate.txt
Pass criteria: command exits 0 and output/aliyun-pixverse-generation/validate.txt is generated.