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reticulated.net | ||
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qwenlm.github.io
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| | | | | GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD We are thrilled to release Qwen-Image, a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. To try the latest model, feel free to visit Qwen Chat and choose "Image Generation". The key features include: Superior Text Rendering: Qwen-Image excels at complex text rendering, including multi-line layouts, paragraph-level semantics, and fine-grained details. It supports both alphabetic languages (e. | |
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jalammar.github.io
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| | | | | Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story - the intro cinematic to an old video game (Nemesis 2 on the MSX). This post describes the process and my experience in using these models/services to retell a story in higher fidelity graphics. Meet Dr. Venom This fine-looking gentleman is the villain in a video game. Dr. Venom appears in the intro cinematic of Nemesis 2, a 1987 video game. This image, in particular, comes at a dramatic reveal in the cinematic. Let's update ... | |
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www.edwinwenink.xyz
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| | | | | [AI summary] The author explores using stable diffusion without fine-tuning to generate a stylized professional headshot from selfies by manipulating prompts with artist names. | |
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www.graphcore.ai
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| | | How to run inference on pretrained stable diffusion models for text to image, image to image and text-guide inpainting applications. | ||
