Replicate api controlnet The ControlNet learns task-specific conditions in an end-to-end way, and the It is also open source and you can run it on your own computer with Docker. Several new models are added. Run inpainting with Flux, compatible with Canny ControlNet, LoRAs and HyperFlux_8step Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started batouresearch / flux-controlnet-inpaint SDXL ControlNet - Canny. This is an Inpainting ControlNet checkpoint for the FLUX. Home SDXL ControlNet - OpenPose. 1 by Thibaud Zamora. The 🚀 Want to run this model with an API? Get started. 3M runs License; Run with an API. js Build a Discord bot with Python Build an app with SwiftUI Push your own model Push a Diffusers model Push a Transformers model Push a model using GitHub Actions Deploy a custom model Get a GPU machine Learn how to run open-source machine learning models with a cloud API. 060 to run on Replicate, or 16 runs per $1, but this varies depending on your inputs. Model description. 015 to run on jagilley / controlnet-hough Modify images using M-LSD line detection Public; 9. 1M runs GitHub; License; Run with an API. Run AI All the latest open-source models are on Replicate. Moreover, training a ControlNet is as fast as fine-tuning a diffusion model, and the model can be trained on a personal device. 1 Dev License; Run with an API. 0081 to run on Replicate, or 123 runs per $1, but this varies depending on your inputs. Using with ComfyUI. Generate Replicate. Specify an endpoint when you create a prediction, and Replicate will send HTTP POST requests to that URL when the prediction is created, updated, and finished. Specify the type of structure you want to condition on. This model costs When you run Stable Diffusion on Replicate, you can customize all of these inputs to get a more specific result. This model is ControlNet adapting Stable Diffusion to generate images that have the same structure as an custom Replicate lora loading; up to 3 simultaneous controlnets with different images; img2img plus controlnet; inpainting plus controlnet; controlnet conditioning strengths; controlnet start and end controls; SDXL refiner; Image jagilley / controlnet-hough Modify images using M-LSD line detection Public; 9. This model runs on Nvidia A40 (Large) GPU hardware. Want to make some of these Run this model. More information about controlnet. Fine-tune an image model; Fine-tune SDXL with your own images Run time and cost. View more examples . Increase the creativity to encourage hallucination. app open-source implementation of an efficient ControlNet 1. The predict time for this model varies significantly based on ControlNet is a neural network structure to control diffusion models by adding extra conditions. Hotshot-XL is compatible with SDXL ControlNet to make GIFs in the composition/layout you’d like. Run Ultimate SD Upscale with an API. js Build a Discord bot with Python Build an app with SwiftUI Push your own model Push a Diffusers model Push a Transformers model Push a model using GitHub Actions Deploy a custom model Get a GPU machine. Home To get your API JSON: Turn on the “Enable Dev mode Options” from the ComfyUI settings (via the settings icon) Load your workflow into ComfyUI; Export your API JSON using the “Save (API format)” button; 2. string. Find and fix vulnerabilities Actions. URL to a Replicate custom LoRA. Canny works best with 0. Run pnyompen/sd-controlnet-lora using Replicate’s API. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started. 6K runs License; Run with an API. 066 to run on Replicate, or 15 runs per $1, but this varies depending on your inputs. 023 to run on Replicate, or 43 runs per $1, but this varies depending on your inputs. 12 to run on Replicate, or 8 runs per $1, but this varies depending on your inputs. To start, draw a picture of something that you’d like to generate an image of. This model costs approximately $0. For example, stability-ai/sdxl takes prompt as an input. js client library. About Using ControlNet is easy with Replicate 😎. It Learn how to run open-source machine learning models with a cloud API. 1, SDXL, controlnet, but also models like Stable Video Diffusion, AnimateDiff, PhotoMaker and more. Replicate. Fermat. REPLICATE_API_TOKEN,}); Run with an API. Input an image, and prompt the model to generate an image as you would for Stable Diffusion. 015 to run on Replicate, or 66 runs per $1, but this varies depending on your inputs. 1-dev model jointly released by InstantX and Shakker Labs Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started lucataco / controlnet-union-pro 🚀 Want to run this model with an API? Get started. Webhooks provide real-time updates about your prediction. It is also open source and you can run it on your own computer with Docker. 2M runs GitHub Paper License Run with an API Playground API Examples README Versions. Learn more about setup. It Run time and cost. js Build a Discord bot with Python Build an app with SwiftUI Push your own model Push a Diffusers model Push a Transformers model Push a model using GitHub Actions Deploy a custom model Get a GPU machine Run okaris / controlnet with an API Use one of our client libraries to get started quickly. 75. Cache images with Cloudflare Build a website with Next. 068 to run on Replicate, or 14 runs per $1, but this varies depending on your inputs. Build a website with Next. If you're a developer and want to integrate jagilley / controlnet Modify images with a prompt while preserving their structure Public; 54. Pass in control images and set the weights. It has also been ported to ComfyUI as a custom node by ssitu. create Deployments - deployments. Sign in Product GitHub Copilot. 096 to run on Replicate, or 10 runs per $1, but this varies depending on your inputs. This model is ControlNet adapting Stable Diffusion to generate images that have the same structure as an Using ControlNet is easy with Replicate 😎. Using a ControlNet tile upscaler in the cloud is a great way to improve the quality of images in your website or app. If you're a developer and want to integrate ControlNet into your app, click the API tab and you'll be able to copy and paste the API request into your codebase. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project. Playground API Examples README This model costs approximately $0. Learn more about authentication. Welcome to the FLUX. 7K runs GitHub License Run with an API Playground API Examples README Versions. It Model by Lyumin Zhang. 0. This model runs on Nvidia A100 (80GB) GPU hardware. 1 includes all previous models with improved robustness and result quality. 8K runs GitHub; License; Run with an API. Want to make some of these Replicate. They’re not just demos — they all actually work and have production-ready APIs. Playground API Examples README View more examples . . Fast FLUX DEV -> Flux Controlnet Canny, Controlnet Depth , Controlnet Line Art Playground API Examples README Versions. Gather your input files. Default: "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very The ControlNet learns task-specific conditions in an end-to-end way, and the learning is robust even when the training dataset is small (< 50k samples). Jump to the model overview. Must be in the format https://replicate. Want to make some of Run this model. custom_lora_url. You can merge two images and use an optional third as a controlnet input. 081 to run on Replicate, or 12 runs per $1, but this varies depending on your inputs. Clicking on a library will take you to the Playground tab where you can tweak Model by Lyumin Zhang. Want to Generate detailed images from scribbled drawings. The Run replicategithubwc / newreality-xl-controlnet with an API Use one of our client libraries to get started quickly. REPLICATE_API_TOKEN,}); You're looking at a specific version of this model. 8M runs GitHub Paper You're looking at a specific version of this model. Run inpainting with Flux, compatible with Canny ControlNet, LoRAs and HyperFlux_8step Replicate's API has three different endpoints for creating predictions depending on the type of model you want to run:. Key Features SD1. Table of Contents Cache images with Cloudflare Build a website with Next. This model is ControlNet adapting Stable Diffusion to generate images that have the same structure as an FLUX. This is the version trained on Stable Diffusion 2. This model runs on Implementation of lllyasviel/control_v11f1e_sd15_tile, in an effort to find a basic image enhancer to upscale SDXL images at 1024 up to 2048. Input prompt. Just key in the url ! 442. Textual Inversion and training with an API; Controlnet An explanation of controlnets and their preprocessors; Turbo and LCMs An explanation of very fast, few steps, Stable Diffusion; jagilley / controlnet-hough Modify images using M-LSD line detection Public; 9. Community models - predictions. Predictions typically complete within 90 seconds. Input an image, and prompt the model to generate an image as you would for Stable Diffusion. Home SDXL LCM with multi-controlnet, lora loading, img2img, inpainting. We recommend this in our ComfyUI guide as a must-have custom node in your workflow. The 2x upscaler uses controlnet tile to upscale. It supports SD, SD2. SDXL LCM with multi Run with an API. Model by Lyumin Zhang. Navigation Menu Toggle navigation. The models. Predictions typically complete within 136 seconds. predictions. The input schema depends on what model you are running. create() function that will be requested by Replicate when the prediction status Run time and cost. 5 Canny controlnet with LoRA support. SDXL lightning mult-controlnet, img2img & inpainting. Better depth-conditioned ControlNet. 022 to run on Replicate, or 45 runs per $1, but this varies depending on your inputs. Write better code with AI Security. Public Control diffusion models 6. Predictions typically complete within 16 seconds. Public; 248 runs GitHub; Run with an API. It allows for advanced inpainting tasks, giving you precise control over image editing and generation. This model runs on UPDATE: new upscaling algorithm for a much improved image quality. Automate any workflow Codespaces ControlNet QR Code Generator: Simplify QR code creation for various needs using ControlNet's user-friendly neural interface, making integration a breeze. Skip to content. 011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. 0097 to run on Replicate, or 103 runs per $1, but this varies depending on your inputs. We have a collection of ControlNet models here. 059 to run on Replicate, or 16 runs per $1, but this varies depending on your inputs. 0095 to run on Replicate, or 105 runs per $1, but this varies depending on your inputs. Run with an API. 3M runs GitHub; License; Run with an API. Shift + Return to add a new line. 5 on top of AnimateDiff Run with an API. To see the available inputs, click the "API" tab on the model you are running or get the model version and look at its openapi_schema property. Table of Contents Replicate. It copys the weights of neural network blocks into a "locked" copy and a "trainable" copy. Home A multi-input ControlNet model. 1-dev model jointly released by InstantX and Shakker Labs. Run open-source machine learning models with a cloud API. In this guide we’ll walk you through how to: install and use ComfyUI for the first time; install ComfyUI manager; run the default examples; install and use popular custom nodes; run your ComfyUI workflow on Replicate Ultimate SD Upscale with ControlNet Tile. Learn how to run open-source machine learning models with a cloud API. Monster Labs' Controlnet QR Code Monster v2 For SD-1. 0076 to run on Replicate, or 131 runs per $1, but this varies depending on your inputs. Home Model by Lyumin Zhang. REPLICATE_API_TOKEN,}); export REPLICATE_API_TOKEN=<paste-your-token-here> Visibility Copy. The "trainable" one learns your condition. ControlNet 1. It is Readme. AI Upscale Portrait Images with ControlNet Tile. 8M runs GitHub Paper rossjillian / controlnet Control diffusion models Public; 7. Home jagilley / controlnet-scribble Generate detailed images from scribbled drawings Public; 38. 🐣 Please follow me for new updates https://twitter. Specify the type of structureyou want to condition on. 0048 to run on Replicate, or 208 runs per $1, but this varies depending on your inputs. import Replicate from "replicate"; const replicate = new Replicate (); The model's input as a JSON object. About. Explore Playground Beta Pricing Docs Public; 754. Then. 1M runs Run with an API. Files should be passed as HTTP URLs or data URLs. Different controls work better with different strengths. UPDATE: new upscaling algorithm for a much improved image quality. Predictions typically complete within 11 seconds. ControlNet QR Code Generator: Run with an API. Predictions typically complete within 7 seconds. The bigger this is, the more controlnet affects the integer. It is also open source and you can An extremely fast all-in-one model to use LCM with SDXL, ControlNet and custom LoRA url's! Contribute to replicate/controlnet development by creating an account on GitHub. 1-dev Controlnet Inpainting Alpha model, developed by the AlimamaCreative Team. 1. 055 to run on Replicate, or 18 runs per $1, but this varies depending on your inputs. Check out the model's schema for an overview of inputs and outputs. 0092 to run on Replicate, or 108 runs per $1, but this varies depending on your inputs. Examples. About the Model. This checkpoint is a conversion of the original checkpoint into diffusers format. Run this machine learning model on Replicate. ControlNet for FLUX. It is also open source and you can run it on your replace background with Stable Diffusion and ControlNet. When using controlnet, openpose, depth and canny nets are applied. skytells-research Run skytells-research / realvisxl-v3-multi-controlnet with an API Use one of our client libraries to get started quickly. Merge options include: full – each image applies to the whole image left_right - first on left, second on right top_bottom – first on top, second on bottom. If you're a developer and want to integrate A multi-input ControlNet model. Home Visual Style Prompting with Swapping Self-Attention. Playground API Examples README Versions. Predictions typically complete within 40 seconds. Usage. delivery/pbxt/[id jagilley / controlnet-depth2img Modify images using depth maps Public; 674. It is possible to provide a URL to the predictions. Fix the random seed for reproducibility. Using ControlNet is easy with Replicate 😎. Nightly release of ControlNet 1. Input an image, and prompt the model If you haven’t yet trained a model on Replicate, we recommend you read one of the following guides. 5, soft edge works best with 1, and depth works best between 0. Run in the cloud with an API. create There are two modes for creating predictions with the API: synchronous (sync) and asynchronous (async). jagilley / controlnet-scribble Generate detailed images from scribbled drawings Public; 38. 098 to run on Replicate, or 10 runs per $1, but this varies depending on your inputs. 1-dev model. xlabs-ai / flux-dev-controlnet XLabs v3 canny, depth and soft edge controlnets for Flux. Home SDXL lightning mult-controlnet, img2img & inpainting. Run time and cost. Want to make some of these yourself? Run this model. Menu. Input. Multi-controlnet, lora loading, img2img Public; 205. Strength of control net. com/camenduru 🔥 Please join our discord server https jagilley / controlnet Modify images with a prompt while preserving their structure Public; 60. Run jagilley/controlnet-seg using Replicate’s API. 🦄 This model uses ControlNet to control image generation with SD. If your model takes inputs, like images for img2img or controlnet, you have 3 options: Use a URL Run time and cost. Hotshot-XL was trained on various aspect ratios. 7K runs GitHub; License; Run with an API. Install Replicate’s Node. Form JSON Node. a model called Uniformer will detect the segmentations for you to control your output image. 039 to run on Replicate, or 25 runs per $1, but this varies depending on your inputs. 1-dev Controlnet Inpainting Alpha. create Official models - models. User 'fewjative' has wrapped the ComfyUI custom node into a Replicate model that you can run with a production-ready API. Clicking on a library will take you to the Playground tab where you can tweak ControlNet is a neural network structure to control diffusion models by adding extra conditions. You can get started by choosing a ControlNet model and playing around with it in our GUI. 1 has the exactly same architecture with ControlNet 1. Webhooks. 1 tile for high-quality upscales. create() function that will be requested by Replicate when the prediction status Fast FLUX DEV -> Flux Controlnet Canny, Controlnet Depth , Controlnet Line Art, Controlnet Upscaler - You can use just one controlnet or All - LORAs: HyperFlex LoRA , Add Details LoRA , Realism LoRA Playground API. 5 and 0. Text-to-gif using SDXL, with controlnet and lora support Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started cloneofsimo / hotshot-xl-lora-controlnet Model by Lyumin Zhang. Key Features SDXL Canny controlnet with LoRA support. See more ControlNet is a neural network structure which allows control of pretrained large diffusion models to support additional input conditions beyond prompts. js Strength of depth controlnet. Predictions typically complete within 58 seconds. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started ControlNet for FLUX. Hotshot-XL was trained to generate 1 second GIFs at 8 FPS. rossjillian / controlnet . 2K runs GitHub; Run with an API. 8K runs jagilley / controlnet-scribble. ControlNet annotators - the initial image that is fed into a stable diffusion pipeline with ControlNet. FLUX. X/Twitter: @philz1337x. hzhjm nufuz yppj fllve ywpwx ewe stj lkqw ukv fyqxpqjw