Recently”Synopsis"Video fire, a single play of millions, praises hundreds of thousands of people
This blogger, with 85 pieces, has 298,000 fans, 3591,000, and that's a big one
SynopsisShort VideoThe core logic is really simple: the mood is in place + the flow code
The words "serving the people" and "out of power in the barrel of a gun" are going to turn out。
In plain words, young people now cry and lie down in their mouths, and in their hearts they worship the strong and eat the hard core positive energy
And the golden phrase in the fur selection itself, with a sense of authority and hotness, is very powerful, and it's like, "The pattern opens up," "Look at the crying, there's power in the moment," and it's full of emotion
And the platform likes what's called "positive energy," and it's in line with official values
It's also a way for young people to talk about their ideals and their struggles, and it's a hot zone, and it's so hot
In short, there are a few ways to make a difference:
Platform traffic split
(b) Windows and goods, with books
Take up brand ads; run with teaching, etc。
Come on, don't talk. Today, I'll teach you how to use itCozeAgentBuild a video that can produce this kind of video quicklyWorkflowI don't know. We'll have a full day of work in a few minutes
It's a very practical article
✅ Workstream presentation
I'll split it up for you
Step one, node
I set up five for the node
1.api: key
2.auto_kt: custom beginnings, can be unfilled
3.auto_zw: custom body content, not filled in
4.book_name: book name
5. book_name_file: book name, file
So what we need to achieve at the end of the day is an intermediate deployment that you can enter directly into an option you want to share, or upload a self-defined text, and start automatically。
Step two, variable aggregation
If the file is uploaded, the system automatically recognizes the format and extracts all text contents, aggregates them and is suitable for quick viewing of individual information。
step three, douban_getbook
This step is to search for information about the books that we enter through bean petals。
Step four, large model -- book capital
This is based on the DeepSeek-V3. model, which is built by a professional literary gold-word distilling and interpreting expert, who is good at extracting from classics powerful and resonant sentences
It is also deconstructed in a language that is real, natural and close to the general public, and is particularly suitable for short video broadcasts or for the creation of recommended types of content。
System prompt words
User Hint
Step five, biographic synapses _1
The file spectroscopy will be entered and output as an array。
Step six, transliteration
You can customise sound and emotional types。
Step seven, picture time line
Step eight, drawing staff
The node was built by a professional book illustrator who was very good at producing art-style illustrations based on the content of the book. Need to create illustrations that fit into the text of the book entered
System prompt words
User Hint
Step nine,genImageArk
Ventura interface, maintain picture foreground subject, output transparent background
Step 10, get the audio time line
Get a list of time lines from the audio list, then a draft clip, synthesize
step 11, temeline_merge
Retrieving audio time lines and synchronizing all time lines。
Step 12, Cyclops
There are three circulation boxes
Creates draft clippings by using array loops to generate sound-forming, effects, scripts and video synthesis。
In the end, cut the mix
The first selection of the subject from the big model, and then a mix of the drawings, the soundings, will converge in that plugin
Next is a set of clips that you're offering, which will generate a file, a graph, a tune, a music, an import clip, and you just have to export it, and you should see that it's not complicated, and it's set up once, and it's always available。
Well, that's the end of the course. Start your little hands and follow the curriculum and fuck。