DreamStudio is an easy-to-use interface for creating images using the latest version of the Stable Diffusion image generation model
Generate a new image from a text prompt. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Modify an image based on a text prompt. See the documentation
Create a higher resolution version of an input image. See the documentation
The DreamStudio (Stable Diffusion) API taps into the power of AI to generate creative visual content from textual descriptions. With Pipedream, you can automate the process of creating images, integrate with various apps, and build complex workflows without servers. You can trigger image generation on demand, process user inputs, or schedule image creation - All seamlessly within Pipedream's ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dreamstudio: {
type: "app",
app: "dreamstudio",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.stability.ai/v1/user/account`,
headers: {
Authorization: `Bearer ${this.dreamstudio.$auth.api_key}`,
},
params: {
Accept: `application/json`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}