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All the latest open-source models are on Replicate. They’re not just demos — they all actually work and have production-ready APIs. AI shouldn’t be locked up inside academic papers and .
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Discover and share open-source machine learning models from the community .You aren’t limited to the public models on Replicate: you can deploy your own .Replicate lets you run AI models with a cloud API, without having to understand .
Painting with words: a history of text-to-image AI. With the recent release of .Replicate treats secret inputs differently throughout its system. When you create .These models increase image resolution and quality. Read our guide to upscaling .
replicate / flan-t5-xl. A language model by Google for tasks like classification, .
These models can generate and edit videos from text prompts and images. They use .
Discover and share open-source machine learning models from the community that you can run in the cloud using Replicate.
Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos. Denoising - Remove grain and artifacts by learning noise patterns. Colorization - Add realistic color to .Replicate lets you run AI models with a cloud API, without having to understand machine learning or manage your own infrastructure. You can run open-source models that other .Discover and share open-source machine learning models from the community that you can run in the cloud using Replicate.
recraft-ai / recraft-v3. recraft-ai. /. recraft-v3. Recraft V3 (code-named red_panda) is a text-to-image model with the ability to generate long texts, and images in a wide list of styles. . Replicate, a startup that runs machine learning models in the cloud, today launched out of stealth with .8 million in venture capital backing; .5 million of the total came from a Series A.
We've verified that the organization replicate controls the domain: replicate.comRun AI with an API. Run and fine-tune open-source models. Deploy custom models at scale, all with one line of code. Imagine what you can build, get started today.Fine tune models. Restore images. A text-to-image model with greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. SDXL-Lightning by ByteDance: a fast text-to-image model that makes high-quality images in 4 steps.Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos. Denoising - Remove grain and artifacts by learning noise patterns. Colorization - Add realistic color to black and white photos. Face restoration - Improve the image quality of faces in old photos, or unrealistic AI generated faces.
Discover and share open-source machine learning models from the community that you can run in the cloud using Replicate.
Replicate demo for GFPGAN. （You may need to login in to upload images~）. GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. If GFPGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊.
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Super-resolution - Upscale images by inferring high frequency details. Allows increasing resolution without losing quality. Noise reduction - Remove artifacts and imperfections during upscaling. Results in cleaner image. Face restoration - Improve facial features and textures for more natural faces.https://ko-fi.com/artificialguybr. Or follow them on Twitter: https://twitter.com/artificialguybr. Turn a face into 3D, emoji, pixel art, video game, claymation or toy.Use an API for AI Image Editing to handle inpainting, background removal, object removal, color correction, and more advanced photo enhancements.
This model costs approximately Check out the Replicate official Flux LoRA trainer. Licensing and commercial use. If you generate images on Replicate with FLUX.1 models and their fine-tunes, then you can use the images commercially. If you download the weights off Replicate and generate images on your own computer, you can’t use the images commercially..0019 to run on Replicate, or 526 runs per , but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker. This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 9 .This model costs approximately How to Use This Replicate Demo. Upload an image with the identity you want to use. Write a prompt describing the image you want to create. Adjust the settings if you need to (check out the “Useful Tips” below). Click to generate your customized image! Useful Tips. Two important settings to think about: Timestep to start inserting ID:.018 to run on Replicate, or 55 runs per , but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker. This model runs on Nvidia A100 (40GB) GPU hardware. Predictions typically complete within 16 seconds.Recraft V3 (code-named red_panda) is a text-to-image model with the ability to generate long texts, and images in a wide list of styles. As of today, it is SOTA in image generation, proven by the Text-to-Image Benchmark by Artificial AnalysisRun time and cost. This model costs approximately FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post.. Key Features. Cutting-edge output quality and competitive prompt following, matching the ..0019 to run on Replicate, or 526 runs per , but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.. This model .
Run time and cost. This model costs approximately Stable Diffusion 3 on Replicate can be used for commercial work. Model. Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. For more technical details, please refer to the ..0021 to run on Replicate, or 476 runs per , but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.. This model runs on Nvidia A100 (80GB) GPU hardware.Predictions typically complete within 2 seconds.
You can fine-tune FLUX.1 on Replicate by just uploading some images, either on the web or via an API. Select a model as your destination or create a new one by typing the name in the model selector field. Next, upload the zip file containing your training data as the input_images. .You aren’t limited to the public models on Replicate: you can deploy your own custom models using Cog, our open-source tool for packaging machine learning models. We automatically generate an API server for your model and deploy it on a big cluster of GPUs. If you get a ton of traffic, we automatically scale to handle the demand.
Run time and cost. This model costs approximately
.035 to run on Replicate, or 28 runs per , but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.. This model runs on Nvidia A40 (Large) GPU hardware.Predictions typically complete within 49 seconds.
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