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Turbo Granny from Dandadan is a great example, with her cruel tricks and unexpected gentleness. Many other characters in anime share similar traits, ranging from villains to misunderstood antiheroes.
Segmind Now Offers Stable Diffusion 3.5 and 3.5 Turbo for Creative AI Applications - FOX 5 San Diego
an anime panda. His flowery hat reads 'Segmind' on it. Scene from an anime movie. big green hills and valleys. a cyberpunk panda. His futuristic hat reads 'Segmind' on it. Scene from a sci-fi ...
Turbo Granny is a yōkai, or supernatural entity, who plays a crucial and impactful part in the Shonen's storyline. Let's delve into her origins as a yōkai, her role in the series, her abilities ...
Stable Diffusion 3.5 Large and Diffusion 3.5 Large Turbo can be self-hosted or used via Stability’s API and third-party platforms including Hugging Face, Fireworks, Replicate, and ComfyUI.
With APIs such as the SDXL API, Stable Diffusion Turbo API, Flawless Text API, SD3 API, Virtual Try-On API, and more, Appy Pie Endpoint empowers developers to seamlessly integrate advanced AI ...
Hardly any other AI topic invites more experiments than image generators. However, they are not only available on the web, but also for your own (powerful) PC. We show what's needed for this.
Stability AI has launched Stable Diffusion XL Turbo, an AI image-synthesis model that can rapidly generate imagery based on a written prompt. The 'real-time' image generation can transform images ...
AI Software machine learning stable diffusion Stable Diffusion XL Turbo can create AI images in real time as you type A new text-to-image model with single-step image generation capabilities By ...
I just tried Stable Diffusion's new real-time AI image generator — and it's scary fast - Tom's Guide
A new artificial intelligence image generator that can create a new image in real-time has been released by Stable Diffusion makers StabilityAI. Called SDXL Turbo, it is based on the company’s ...
According to Stability AI, SDXL Turbo can generate a 512×512 image in just 207ms on an A100 GPU which is a major speed improvement over prior AI diffusion models.
To try it out, we ran SDXL Turbo locally on an Nvidia RTX 3060 using Automatic1111 (the weights drop in just like SDXL weights), and it can generate a 3-step 1024×1024 image in about 4 seconds ...
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