Learn how to become an Artificial Intelligence Artist

Learn how text-to-image generation turns words into images using algorithms and deep learning, enabling rapid visuals for graphic design, advertising, virtual reality, and gaming, with a look at Dall-E 2.

Explore how Dall-E two advances image generation with text prompts, creating photorealistic images and editing like inpainting, and learn the origins and goals of the OpenAI model.

Explore Dolly pricing and credit structure, including free monthly credits, four images per prompt, and credits at about $0.13 each.

Master AI prompt mastery by structuring text to image prompts with subject and style keywords, strong modifiers, and seeds to guide consistent, high-quality results.

Learn to craft detailed, cross-model prompts for ai art using prompt mania, building a base prompt and layering details, styles, lighting, and camera choices for text-to-image generators.

Explore how to apply artistic styles to AI-generated images using Dall-E two, and learn to combine two artist styles, like Vincent van Gogh and Frida Kahlo, to create unique visuals.

Explore aesthetics in image artificial intelligence generation by shaping color balance, symmetry, and composition to produce accurate, visually pleasing images that reflect prompts.

Explore how color conveys meaning and emotion in text-to-image generative AI. Use palettes like monochromatic, analogous, complementary, triadic, and tetradic to create harmony and contrast.

Master composition by arranging subject, background, and elements to match ai text prompts. Experiment with angles—low angle, eye level, bird's eye view, establishing shot, full-body, portrait, and extreme close-up.

Discover Dall-E 2 inpainting to fill missing image parts with custom content, enabling image restoration, content creation, and faster, more accessible editing plus data augmentation for models.

Discover inpainting with text in Dall-E 2, fill missing image sections with a text prompt, and edit text placement using eraser tools to generate coherent outputs.

Learn dall-e 2 outpainting fundamentals to expand an image with generation frames, creating a seamless transition and exploring crop options, pan tool, and multiple generation results.

Leverage outpainting to fuse two images into one seamless picture using generation frames and inpainting. Craft prompts, crop and edit images, and refine results to create a single, cohesive artwork.

Explore promptbase, a marketplace for buying and selling quality prompts that generate AI images for avatars, logos, and photographs using Dall-E, Midjourney, and Stable Diffusion.

Explore Midjourney's dreamlike, gothic-inspired outputs as an ai image generator after Dall-E 2. The fifth iteration delivers higher image quality and more diverse outputs from detailed prompts.

Master the basics of using Midjourney on Discord, craft prompts with /imagine, upscale and remix variations, and navigate settings from versions, quality, stylization, to public or stealth modes.

Explore mid-journey's aspect ratio property to shape image layout by using the --aspect or --ar parameter; choose common ratios like 4:3, 16:9, 9:16, and 1:1 to fit your input text.

Explore the evolution of Midjourney from version 1 to 5, comparing upscaling, object realism, prompts, and detailing to master AI art with natural language prompts.

Explore Niji mode in Midjourney version five, an anime-specific model that creates dynamic, composition-focused anime character designs and backgrounds.

Learn to use Midjourney test modes, including MJ test and MJ test photo, and grasp test models' limits: no multi prompts, stylized values 1250–5000, and aspect ratios 3:2 or 2:3.

Master Midjourney upscale by using the regular, light, and beta upscalers to adjust image size and detail, including 1024x1024 and 2048x2048 outputs, for faces and smooth surfaces, with chaos parameter.

Explore how the chaos parameter in Midjourney, with default zero, controls variation and composition, 0–100 values yielding more varied, sometimes unusual results and less reliable composition, in explorative prompts.

Explore how the stylize parameter controls Midjourney's image stylization, ranging from simple prompts to more artistic results, with examples at 0, 100, 500, and 1000.

Explore the seed parameter in Midjourney to control randomness and achieve reproducible results by defining a seed, using dash dash seed notation, and recognizing how seeds produce consistent image styles.

Explore the image weight parameter in Midjourney to balance image prompts (as urls) with text prompts using dash dash w, with weights from 0.5 to 2.

Learn how to use Midjourney multi prompting to process two concepts in one prompt, using open compound words, double colon, and prompt weights and negative weights to guide outcomes.

Combine images in Midjourney by uploading from PC or mobile, then blend or imagine with image prompts and style prompts like cyberpunk futurism to create hybrid scenes.

Learn character consistency in Midjourney by building a base prompt with a chosen style, look, and background, adding multiple poses and expressions, and locking the look with a seed.

Leverage ChatGPT with Midjourney version five prompts to create realistic images by combining image prompts from Artstation with ChatGPT prompts, enabling high-detail, ultra-high-resolution renders.

Celebrate the completion of the cutting-edge course on ai image generation, mastering Dall-E 2 and Midjourney to create high-quality images from text and transform visuals with ai.