And that's it! Have fun coloring these cute dog outlines! Woof woof!
// Title: 50 Dog Outlines for Coloring
// Let's draw some cute dog outlines for coloring!
// First, let's create the canvas element in the HTML document:
// <canvas id="myCanvas" width="512" height="512"></canvas>
// Now, let's get the 2d context variable:
// Let's draw 50 different dog outlines:
// Dog 1
ctx.beginPath();
ctx.moveTo(256, 128);
ctx.lineTo(384, 128);
ctx.lineTo(384, 384);
ctx.lineTo(256, 384);
ctx.closePath();
ctx.stroke();
// Dog 2
ctx.beginPath();
ctx.moveTo(128, 256);
ctx.lineTo(384, 256);
ctx.lineTo(384, 384);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 3
ctx.beginPath();
ctx.moveTo(128, 128);
ctx.lineTo(256, 128);
ctx.lineTo(256, 256);
ctx.lineTo(128, 256);
ctx.closePath();
ctx.stroke();
// Continue drawing the rest of the dogs in a similar fashion...
// Dog 4
ctx.beginPath();
ctx.moveTo(128, 384);
ctx.lineTo(256, 384);
ctx.lineTo(256, 256);
ctx.lineTo(128, 256);
ctx.closePath();
ctx.stroke();
// Dog 5
ctx.beginPath();
ctx.arc(256, 256, 128, 0, Math.PI * 2);
ctx.stroke();
// Dog 6
ctx.beginPath();
ctx.arc(256, 256, 128, 0, Math.PI);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 7
ctx.beginPath();
ctx.arc(256, 256, 128, 0, Math.PI);
ctx.lineTo(384, 384);
ctx.closePath();
ctx.stroke();
// Dog 8
ctx.beginPath();
ctx.arc(256, 256, 128, Math.PI / 2, Math.PI * 1.5);
ctx.lineTo(128, 128);
ctx.closePath();
ctx.stroke();
// Dog 9
ctx.beginPath();
ctx.arc(256, 256, 128, Math.PI / 2, Math.PI * 1.5);
ctx.lineTo(384, 128);
ctx.closePath();
ctx.stroke();
// Dog 10
ctx.beginPath();
ctx.moveTo(256, 128);
ctx.lineTo(384, 128);
ctx.lineTo(384, 256);
ctx.lineTo(256, 256);
ctx.closePath();
ctx.stroke();
// Dog 11
ctx.beginPath();
ctx.moveTo(128, 256);
ctx.lineTo(256, 256);
ctx.lineTo(256, 384);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 12
ctx.beginPath();
ctx.moveTo(256, 256);
ctx.lineTo(384, 256);
ctx.lineTo(384, 384);
ctx.lineTo(256, 384);
ctx.closePath();
ctx.stroke();
// Dog 13
ctx.beginPath();
ctx.moveTo(128, 128);
ctx.lineTo(256, 128);
ctx.lineTo(256, 256);
ctx.lineTo(128, 256);
ctx.closePath();
ctx.stroke();
// Dog 14
ctx.beginPath();
ctx.moveTo(256, 128);
ctx.lineTo(384, 128);
ctx.lineTo(384, 256);
ctx.lineTo(256, 256);
ctx.closePath();
ctx.stroke();
// Dog 15
ctx.beginPath();
ctx.moveTo(128, 256);
ctx.lineTo(256, 256);
ctx.lineTo(256, 384);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 16
ctx.beginPath();
ctx.moveTo(256, 256);
ctx.lineTo(384, 256);
ctx.lineTo(384, 384);
ctx.lineTo(256, 384);
ctx.closePath();
ctx.stroke();
// Dog 17
ctx.beginPath();
ctx.moveTo(128, 128);
ctx.lineTo(192, 128);
ctx.lineTo(192, 192);
ctx.lineTo(128, 192);
ctx.closePath();
ctx.stroke();
// Dog 18
ctx.beginPath();
ctx.moveTo(320, 128);
ctx.lineTo(384, 128);
ctx.lineTo(384, 192);
ctx.lineTo(320, 192);
ctx.closePath();
ctx.stroke();
// Dog 19
ctx.beginPath();
ctx.moveTo(128, 320);
ctx.lineTo(192, 320);
ctx.lineTo(192, 384);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 20
ctx.beginPath();
ctx.moveTo(320, 320);
ctx.lineTo(384, 320);
ctx.lineTo(384, 384);
ctx.lineTo(320, 384);
ctx.closePath();
ctx.stroke();
// Dog 21
ctx.beginPath();
ctx.arc(256, 256, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 22
ctx.beginPath();
ctx.arc(192, 192, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 23
ctx.beginPath();
ctx.arc(320, 192, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 24
ctx.beginPath();
ctx.arc(192, 320, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 25
ctx.beginPath();
ctx.arc(320, 320, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 26
ctx.beginPath();
ctx.arc(256, 256, 192, 0, Math.PI * 2);
ctx.stroke();
// Dog 27
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI, Math.PI * 1.5);
ctx.lineTo(128, 128);
ctx.closePath();
ctx.stroke();
// Dog 28
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI, Math.PI * 1.5);
ctx.lineTo(384, 128);
ctx.closePath();
ctx.stroke();
// Dog 29
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 2, Math.PI);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 30
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 2, Math.PI);
ctx.lineTo(384, 384);
ctx.closePath();
ctx.stroke();
// Dog 31
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(256, 384);
ctx.closePath();
ctx.stroke();
// Dog 32
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(256, 128);
ctx.closePath();
ctx.stroke();
// Dog 33
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 256);
ctx.closePath();
ctx.stroke();
// Dog 34
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 256);
ctx.closePath();
ctx.stroke();
// Dog 35
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 128);
ctx.closePath();
ctx.stroke();
// Dog 36
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 128);
ctx.closePath();
ctx.stroke();
// Dog 37
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 38
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 384);
ctx.closePath();
ctx.stroke();
// Dog 39
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(256, 128);
ctx.closePath();
ctx.stroke();
// Dog 40
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(256, 384);
ctx.closePath();
ctx.stroke();
// Dog 41
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 256);
ctx.closePath();
ctx.stroke();
// Dog 42
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 256);
ctx.closePath();
ctx.stroke();
// Dog 43
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 128);
ctx.closePath();
ctx.stroke();
// Dog 44
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 128);
ctx.closePath();
ctx.stroke();
// Dog 45
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI / 4, Math.PI * 3 / 4);
ctx.lineTo(128, 384);
ctx.closePath();
ctx.stroke();
// Dog 46
ctx.beginPath();
ctx.arc(256, 256, 192, Math.PI * 5 / 4, Math.PI * 7 / 4);
ctx.lineTo(384, 384);
ctx.closePath();
ctx.stroke();
// Dog 47
ctx.beginPath();
ctx.arc(256, 256, 192, 0, Math.PI * 2);
ctx.moveTo(256, 64);
ctx.lineTo(256, 448);
ctx.moveTo(64, 256);
ctx.lineTo(448, 256);
ctx.stroke();
// Dog 48
ctx.beginPath();
ctx.arc(256, 256, 192, 0, Math.PI * 2);
ctx.moveTo(256, 64);
ctx.lineTo(256, 448);
ctx.moveTo(64, 256);
ctx.lineTo(448, 256);
ctx.stroke();
ctx.beginPath();
ctx.arc(256, 256, 128, 0, Math.PI * 2);
ctx.stroke();
// Dog 49
ctx.beginPath();
ctx.arc(256, 256, 192, 0, Math.PI * 2);
ctx.moveTo(256, 64);
ctx.lineTo(256, 448);
ctx.moveTo(64, 256);
ctx.lineTo(448, 256);
ctx.stroke();
ctx.beginPath();
ctx.arc(192, 192, 64, 0, Math.PI * 2);
ctx.stroke();
// Dog 50
ctx.beginPath();
ctx.arc(256, 256, 192, 0, Math.PI * 2);
ctx.moveTo(256, 64);
ctx.lineTo(256, 448);
ctx.moveTo(64, 256);
ctx.lineTo(448, 256);
ctx.stroke();
ctx.beginPath();
ctx.arc(320, 320, 64, 0, Math.PI * 2);
ctx.stroke();
// And that's it! Have fun coloring these cute dog outlines!
// Woof woof!
These are recent AI images made by the community!
DrawGPT is a an AI art generator that uses the GPT-3, GPT-4, DALL-E 3, Custom GPTs, ChatGPT, and other large language models by OpenAI to generate new images from text prompts.
The AI is able to express itself visually through words by writing code to draw and create unique images. This is the same AI powering the very popular ChatGPT large language model AI.
This does not require access to premium AI model subscriptions, it is able to be used by anyone with an internet connection and tokens. This allows everyone to get access to the very best AI art generation technology.
Artificial intelligence may create strange or unusual images. It is being used to generated images for advertising, entertainment, gaming, marketing, and fun right now!
Because Draw GPT has access to do many models we assume the model providers have followed best practices when attributing or utilizing data and images in the training data.
Yes! You can use the images for commercial purposes! And so can Draw GPT.
DrawGPT can draw anything you can think of and more! Just type your text prompt in to the textbox exactly like ChatGPT and see what the AI gives you! Seriously, you can get GPT to draw just about anything for you that you can type in the box.
DrawGPT creates images in PNG, SVG, and Javascript format for download and use. This is different than other AI art projects that only create images in PNG format; being able to get a scene graph via Javascript draw commands is a unique feature of this project and getting any AI art in SVG vector format is unique to DrawGPT.
Many people use this to generate quick art for simple projects, video game assets, new business logos, and more. It is also used to generate images for advertising, entertainment, gaming, marketing, creating art for ads and blog posts with AI and fun.
Want to learn more about DrawGPT, the types of possible image renders, and how to use DrawGPT in your next project as a developer?
Check out our AI image generation API!
DrawGPT is runs on an AI that has never actually "seen" an image as embodied AI in its life!
GPT-3, GPT-4, ChatGPT, and DALL-E 3 only allow input from words. Even GPT-4V which uses image recogintion via AI converts the output to words for use with other AI models. That makes their understanding of the visual world extremely unusual. This AI is able to draw images just like ChatGPT can draw images.
This method of drawing images using raw code is not a great way to draw complex images with lots of structure. It may be able to make photograph quality artwork and professional illustrations with AI but it can fail when using certain types of typography.
Yes and no. Same same but different.
ChatGPT runs on the same model that this project uses, so this is like using ChatGPT to generate images, but it is a different instance of the model. This means that the AI is not precisly the same but it is the same quality AI, image generation AI, large language model, and overall AI art that ChatGPT is using and that Chat GPT can draw.
What is the difference? ChatGPT is specifically wired up to be conversational and track a conversation thread across multiple user prompts. Images in ChatGPT using DALL-E 3 are not saved to the Intenet and made available publicly.
In comparison DrawGPT does not remember things from prompt to prompt, each image is a unique image that does not reference any of the images or prompts previously supplied.
You can do what you want it's your party.
We humbly ask that you backlink to DrawGPT if you do use our images in any promotion or commercial ways, but it is not required.
At the moment all images & Javascript code generated by this tool under the CC0 License with outrageous added term that the license can be revoked or retroactively changed at any time without warning for any image.
Yes! You can use the images for commercial purposes! And so can DrawGPT.
Images are made public during submission.
Depending on the situation the prompts themselves are stored internally for research purposes but given that people are morons and put things in there like personal information it is unlikely DrawGPT would ever be able to release the raw prompts publicly.
Employees at OpenAI and DrawGPT have access to any prompts you submit.
DO NOT SUBMIT PERSONAL INFORMATION.
No.