Expand description
ยง๐ธ GetImg
๐ธ GetImg: A CLI, SDK for interacting with the GetImg API, enabling image generation and manipulation through various endpoints.
ยง๐ Table of Contents
ยง๐ Installation
To install the getimg
CLI, use the following Cargo command:
cargo install --locked getimg --all-features
ยงโจ Features
- Interact with the GetImg API from the command line interface.
- Generate and manipulate images using various endpoints.
- Perform text-to-image and image-to-image generation.
- Repaint images or generate edited images based on prompts.
- Utilize ControlNet conditioning for image generation.
ยงUsage
Before using the getimg
CLI, make sure to set the following environment variable:
export GETIMG_API_KEY=<your_getimg_api_key>
Generate an API key from the GetImg Dashboard.
ยงโจ Usage as CLI
ยงGenerate an edited image:
getimg edit -p "A man riding a horse on Mars." -i image.jpg -s 25 -g 7.5 -e 25 -y 1.5 -o png -n "Disfigured, cartoon, blurry" -c ddim
ยงRepaint an image:
getimg paint -p "An image of a cityscape with neon lights." -i image.png -m edited_image.png -w 512 -a 512 -e 50 -s 5 -g 10.0 -o jpeg -c euler -f 1 -n "Disfigured, cartoon, blurry"
ยงGenerate an image from text:
getimg t2i -p "A colorful sunset over the ocean." -w 512 -a 512 -s 5 -e 42 -o png -n "Disfigured, cartoon, blurry"
ยงGenerate an image from another image:
getimg i2i -p "Add a forest in the background." -i generated_image.png -s 6 -e 512 -o jpeg -f 0.5 -n "Disfigured, cartoon, blurry"
ยงGenerate images using ControlNet conditioning:
getimg cnet -p "A painting of a landscape." -i generated_image.png -f 1.0 -w 512 -a 512 -s 25 -g 7.5 -e 512 -c lms -o png -r canny-1.1 -n "Disfigured, cartoon, blurry"
ยง๐จ Options
Option | Description |
---|---|
--api-key | Specify the API key for accessing the GetImg API. |
--model | Specify the model to use for image generation. |
ยง๐ Subcommands
Subcommand | Description |
---|---|
edit | Generate an edited image. |
paint | Repaint an image based on prompts. |
t2i | Generate an image from text. |
i2i | Generate an image from another image. |
cnet | Generate images using ControlNet conditioning. |
ยงโจ Usage as Crate
-
Add the
getimg
crate:[dependencies] getimg = "0.0.1"
-
Use the provided structs and methods to interact with the GetImg API in your Rust project.
use anyhow::Result; use getimg::client::Client; use getimg::utils::save_image; use std::env; #[tokio::main] async fn main() -> Result<()> { // Example usage let api_key = env::var("GETIMG_API_KEY").unwrap_or_default().to_owned(); let text_prompt = "a kanban-style task board with three columns: To Do, In Progress, and Done. Each column contains a list of tasks, with the To Do column having the most tasks and the Done column having the fewest. The tasks are color-coded, with the To Do tasks being red, the In Progress tasks being yellow, and the Done tasks being green. The board also has a header that includes the title \"To Do List\" and a search bar."; let negative_prompt = Some("Disfigured, cartoon, blurry"); // Create a new instance of the GetIMG Client let mut client = Client::new(&api_key, "lcm-realistic-vision-v5-1"); println!("{:?}", client); // Generate image from text prompt let text_response = client .generate_image_from_text( text_prompt, 1024, 1024, 4, "jpeg", negative_prompt, Some(512), ) .await?; // Save text response image to file save_image(&text_response.image, "text_response.jpg")?; // Generate image from image prompt let image_response = client .generate_image_from_image( "a photo of an astronaut riding a horse on mars", &text_response.image, 4, 512, "jpeg", negative_prompt, Some(0.5), ) .await?; // Save image response image to file save_image(&image_response.image, "image_response.png")?; let controlnet_response = client .generate_image_using_controlnet( "softedge-1.1", "a photo of an astronaut riding a horse on mars", "Disfigured, cartoon, blurry", &image_response.image, 1.0, 512, 512, 25, 7.5, 512, "euler", "png", ) .await?; save_image(&controlnet_response.image, "controlnet_response.png")?; // Generate repainted image let repainted_image_response = client .generate_repainted_image( text_prompt, negative_prompt, &text_response.image, &image_response.image, Some(1.0), 512, 512, 25, 7.5, 512, "euler", "png", ) .await?; // Save repainted image to file save_image(&repainted_image_response.image, "repainted_image.png")?; // Generate edited image let edited_image_response = client .generate_edited_image( text_prompt, negative_prompt, &repainted_image_response.image, 1.5, 25, 7.5, 54, "ddim", "png", ) .await?; // Save edited image to file save_image(&edited_image_response.image, "edited_image.png")?; Ok(()) }
ยง๐ License
This project is licensed under the MIT License.