I aim to create an automation system for LinkedIn image posts, enabling the automatic scheduling and posting of images along with accompanying text at specified times.
I require assistance understanding the utilization of the LinkedIn image post module, especially since I am inexperienced in working with files.
Could anyone provide guidance on transferring an image generated by OpenAI’s DALL-E and integrating it with the LinkedIn image post module?
Scenario
Linkedin image post module:
Hey @M.Jasani
You are going right only you have to do is that you have to do is on second screenshot I see there is Map box click on there and the content will be mapped there with the content from which you have to create image Post.
Let me know if you face any problem after this.
I tried mapping the image in that but it is not posting anything to my LinkedIn account. To check whether my connection to LinkedIn acc is correct or not I added the text post LinkedIn module and it was working.
Here is the image for my LinkedIn image post module.
Yes, that can be an alternate solution but I don’t have to retrieve images from any sheet or through the web. If in my case the image is getting generated inside the scenario and I want to use it directly from there.
map the image/ chatgpt to http module. it can be done without getting any image from outside
in chat gpt output select url; instead of direct image output.
i have done this and it works, when i was testing open AI
I prefer not to route the image through the HTTP module if I can simply convert it using the toBinary() function available in Make. I made multiple attempts with various field inputs until I identified the issue: I had mistakenly used ToBinary() instead of toBinary().
LinkedIn image post module:
Solution:-
To employ toBinary(OpenAI.data[].b64_json; base64 ) in the data field, and it performed as anticipated.
Yes, this is stated under the field here
A tip: most of the time you won’t need a PNG image, you can convert it to JPG using the built-in convert image module like this
Hey there @M.Jasani 
,
Just thought I might step in and pat you on the back for the great job you did while figuring out this problem with @samliew’s, @ManishMandot’s and @Shashwat_Chopra’s help. I’m thrilled to see you were able to learn more about the product and come up with a solution! 
Also thank you for stepping back into the community and sharing your solution with us. We greatly appreciate that.
Keep up the amazing work!
