ReVAnimated is a text-to-image model published on Hugging Face by Stable Diffusion API. It belongs to the class of Stable Diffusion models and produces images from text prompts using the creativeml-openrail-m license.
The model card lists it under the Text-to-Image task and supplies a ready-to-run example for the Diffusers library. Users load it with a single call to DiffusionPipeline.from_pretrained, specifying torch_dtype and device_map, then generate an image by passing a prompt string. The provided code example creates an image of an astronaut in a jungle with a cold color palette.
It can be run locally through the Diffusers pipeline after installing diffusers, transformers, and accelerate via pip. The same repository offers integration paths for notebooks on Google Colab and Kaggle as well as local applications Draw Things and DiffusionBee. A hosted inference option called ReVAnimated API is available through ModelsLab; an API key can be obtained with no payment required.
The entry appears on the Hugging Face model hub, where it has received one like and is followed by 628 users.
Revanimated sits in PulseGate's Image generation category. It focuses on creating high-quality, realistic images from text descriptions using fine-tuned diffusion models. It is built as an open-source project for developers. Revanimated is open source under the Open Source license. It runs on the command line and API.
Behind Revanimated is Stable Diffusion API, and the product first shipped in 2023. Key capabilities include text-to-Image, Stable Diffusion, and Ultra-Realistic Output. It exposes integrations via a public API.
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