Replicate api controlnet. License; Run with an API.

Replicate api controlnet. The 2x upscaler uses controlnet tile to upscale.

• Replicate api controlnet The input schema depends on what model you are running. 016 to run on Replicate, or 62 runs per $1, but this varies depending on your inputs. The bigger this is, the more controlnet affects the integer. This model is ControlNet adapting Stable Diffusion to generate images that have the same structure as an This model costs approximately $0. com/blog/dreambooth-api. This will include the prediction id, status, logs, etc. This is an Inpainting ControlNet checkpoint for the FLUX. Fix the random seed for reproducibility. Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing with ControlNet Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started cjwbw / blipdiffusion-controlnet Ultimate SD Upscale with ControlNet Tile. create() method instead. Explore Playground Beta Pricing Docs Public; 767. Modify images with humans using pose detection. If you want to access the full prediction object (not just the output), use the replicate. 1-dev Controlnet Inpainting Alpha. Clicking on a library will take you to the Playground tab where you can tweak Run time and cost. This model runs on SDXL LCM with multi-controlnet, lora loading, img2img, inpainting. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started lightweight-ai / controlnet_depth_test Generate detailed images from scribbled drawings. Learn how to run open-source machine learning models with a cloud API. Using a ControlNet tile upscaler in the cloud is a great way to improve the quality of images in your website or app. 5 Canny controlnet with LoRA support. 8M runs GitHub Paper Multi-controlnet, lora loading, img2img, inpainting. About. Playground API Examples README This model costs approximately $0. Run in the cloud with an API. 035 to run on Replicate, or 28 runs per $1, but this varies depending on your inputs. ControlNet is a neural network structure which allows control of pretrained large diffusion models to support additional input conditions beyond prompts. If Model by Lyumin Zhang. This model runs on Nvidia A40 (Large) GPU hardware. This model runs on Nvidia Model by Lyumin Zhang. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started. . Control diffusion models. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started ControlNet for FLUX. Replicate. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Cache images with Cloudflare Build a website with Next. 18 to run on Replicate, or 5 runs per $1, but this varies depending on your inputs. Learn more about authentication. 13 to run on Replicate, or 7 runs per $1, but this varies depending on your inputs. You can get started by choosing a ControlNet model and playing around with it in our GUI. rossjillian / controlnet . ControlNet with SD 2. Run AI All the latest open Nightly release of ControlNet 1. 7K runs GitHub; Run with an API. The models. 0 Playground API Examples README Versions. Playground API Examples README Versions. The 2x upscaler uses controlnet tile to upscale. Gather your input files. You're looking at a specific version of this model. It is also open source and you can run it on your own ControlNet. jagilley / controlnet-depth2img Modify images using depth maps Public; 674. 8M runs GitHub Paper Install Replicate’s Node. View more examples . 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 Visual Style Prompting with Swapping Self-Attention. 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 FLUX. Increase the creativity to encourage hallucination. 0014 to run on Replicate, or 714 runs per $1, but this varies depending on your inputs. 039 to run on Replicate, or 25 runs per $1, but this varies depending on your inputs. 14 to run on Replicate, or 7 runs per $1, but this varies depending on your inputs. Modify images using canny edge detection. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Playground Beta Pricing Docs Blog Changelog Sign in Get started Transform your image or QR code like never before Public; 1. string. Key Features Run montyanderson / controlnet with an API Use one of our client libraries to get started quickly. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Strength of control net. Supports all sd-webui APIs，ControlNet canny API supported. Run replicategithubwc / realvis-xl-controlnet with an API Use one of our client libraries to get started quickly. a model called Uniformer will detect the segmentations for you to control your output image. It is Readme. js client by running npm install replicate. 🚀 Want to run this model with an API? Get started. 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; Model by Lyumin Zhang. 0080 to run on Replicate, or 125 runs per $1, but this varies depending on your inputs. Run jagilley/controlnet-hough using Replicate’s API. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started XLabs v3 canny, depth and soft edge controlnets for Flux. An extremely fast all-in-one model to use LCM with SDXL, ControlNet and custom LoRA url's! Run replicategithubwc / albedo-base-xl-controlnet with an API Use one of our client libraries to get started quickly. Hotshot-XL was trained on various aspect ratios. 075 to run on Replicate, or 13 runs per $1, but this varies depending on your inputs. create() function that will be requested by Replicate when the prediction status Learn how to run open-source machine learning models with a cloud API. 1 includes all previous models with improved robustness and result quality. com/camenduru 🔥 Please join our discord server https Run replicategithubwc / flux-dev-inpainting-controlnet with an API Use one of our client libraries to get started quickly. 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. 10/3/23 - Now handles large input images, resizes to SDXL ratios Modify images using canny edge detection. 1 fine-tuning blog post for an alternative with better results. Fermat. ControlNet 1. 022 to run on Replicate, or 45 runs per $1, but this varies depending on your inputs. Stable Diffusion 3 w/ ⚡InstantX's Canny, Pose, and Tile ControlNets🖼️ SDXL ControlNet - Canny. When using controlnet, openpose, depth and canny nets are applied. 1-dev model jointly released by InstantX and Shakker Labs Model by Lyumin Zhang. Must be in the format https://replicate. 75. Haven't tried yet but this looks like what we're after: https://replicate. It Run this machine learning model on Replicate. 1 Dev Run this machine learning model on Replicate. The soft HED Boundary will preserve many details in input images, making the model suitable for recoloring and stylizing. 011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. Learn more about setup. Shift + Return to add a new line. It is possible to provide a URL to the predictions. It is also Implementation of diffusers/controlnet-canny-sdxl-1. js client library. This model costs approximately $0. Predictions typically complete within 16 seconds. Files should be passed as HTTP URLs or data URLs. ControlNet annotators - the initial image that is fed into a stable diffusion pipeline with ControlNet Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started mikelyndon / controlnet-annotators Kandinsky Image Generation with ControlNet Conditioning. License; Run with an API. Template Version for use with Dreambooth API of ControlNet OpenPose Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started anotherjesse / controlnet-1. Key Features Run time and cost. This model is ControlNet adapting Stable Diffusion to generate images that have the same structure as an FLUX. 0058 to run on Replicate, or 172 runs per $1, but this varies depending on your inputs. Good old controlnet + inpaint + lora. Use one of eight different methods for detecting the details in the original image: - Canny edge detection: automatically detect edges in the image using adjustable thresholds - Depth detection: automatically detect the depths within A multi-input ControlNet model. X/Twitter: @philz1337x. create() function that will be requested by Replicate when the prediction status Model by Lyumin Zhang. Hotshot-XL was trained to generate 1 second GIFs at 8 FPS. This model runs on Nvidia L40S GPU hardware. SDXL ControlNet - Depth. controlnet_v11p_sd15_inpainting demo. Predictions typically complete within 7 seconds. It is also open source and you can run it on your Run time and cost. js Strength of depth controlnet. This model is ControlNet adapting Stable Diffusion to use a depth map of an input image in addition to a Run time and cost. Docs. 7K runs Run with an API An extremely fast all-in-one model to use LCM with SDXL, ControlNet and custom LoRA url's! Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started batouresearch / sdxl-lcm-lora-controlnet SDXL ControlNet - Canny. Clicking on a library will take you to the Playground tab where you can tweak 🚀 Want to run this model with an API? Get started. 1 - Tile Version. This model runs on Nvidia A100 (80GB) GPU hardware. 055 to run on Replicate, or 18 runs per $1, but this varies depending on your inputs. The ControlNet learns task-specific Use one of eight different methods for detecting the details in the original image:- Canny edge detection: automatically detect edges in the image using adjustable thresholds- Depth detection: automatically detect the depths within the image, then diffuse based on the detected depths- HED: detect edges in the image more softl It is also open source and you can run it on your own computer with Docker. Run lucataco/controlnet-tile using Replicate’s API. 0. 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. URL to a Replicate custom LoRA. Modify images using M-LSD line detection. Get started. Search documentation ⌘K. Run with an API. replace background with Stable Diffusion and ControlNet. Model by Lyumin Zhang. const replicate = new I understand that wa can upload a model to replicate or huggingface and query it via an API. It is also open source and you can Text-to-gif using SDXL, with controlnet and lora support. Changelog. It copys the weights of neural network blocks into a "locked" copy and a "trainable" copy. REPLICATE_API_TOKEN,}); SDXL lightning mult-controlnet, img2img & inpainting Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started lucataco / sdxl-lightning-multi-controlnet ControlNet annotators Run with an API. Different controls work better with different strengths. 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. 1-dev Controlnet Inpainting Alpha model, developed by the AlimamaCreative Team. API parameters are the same as webui. const replicate = new Replicate(); const input = { image: First, you need to install the Node. Predictions typically complete within 18 seconds. Clicking on a library will take you to the Playground tab where you can tweak Text-to-gif using SDXL, with controlnet and lora support. 1 has the exactly same architecture with ControlNet 1. clip interrogator with controlnet sdxl for canny and controlnet v1. mohamad1998630 / controlnet Public; Playground API Examples README Versions. The OpenAPI schema reference for Replicate's HTTP API. If your model takes inputs, like images for img2img or controlnet, you have 3 options: Use a URL Run this machine learning model on Replicate. 085 to run on Replicate, or 11 runs per You're looking at a specific version of this model. app open-source implementation of an efficient ControlNet 1. Form JSON Node. 1-dev model jointly released by InstantX and Shakker Labs. Public; 248 runs GitHub; Run with an API. Generate detailed images from scribbled drawings. 🦄 This model uses ControlNet to control image generation with SD. 🐣 Please follow me for new updates https://twitter. 017 to run on Replicate, or 58 runs per $1, but this varies depending on your inputs. Upscale Portrait Images with ControlNet Tile. Run okaris / controlnet with an API Use one of our client libraries to get started quickly. It is also open source and you can run it on your Using ControlNet is easy with Replicate 😎. Check out the FLUX. Usage. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started UPDATE: new upscaling algorithm for a much improved image quality. Fast FLUX DEV -> Flux Controlnet Canny, Controlnet Depth , Controlnet Line Art Playground API Examples README Versions. Want to make some of Run this model. Several new models are added. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started replicategithubwc / juggernaut-xl-controlnet Build a website with Next. Modify images using normal maps. 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 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. Examples. 1 lineart x realistic-vision-v2. ControlNet is a neural network structure which allows control of pretrained large diffusion models to support additional input conditions beyond prompts. This model costs Run this machine learning model on Replicate. skytells-research Run skytells-research / realvisxl-v3-multi-controlnet with an API Use one of our client libraries to get started quickly. The "trainable" one learns your condition. 66 to run on Replicate, or 0 runs per $1, but this varies depending on your inputs. SDXL ControlNet - OpenPose. Home Run with an API. 5 and 0. It allows for advanced inpainting tasks, giving you precise control over image editing and generation. It Run inpainting with Flux, compatible with Canny ControlNet, LoRAs and HyperFlux_8step Model by Lyumin Zhang. More information about controlnet. 010 to run on Replicate, or 100 runs per $1, but this varies depending on your inputs. Playground API View more examples . export REPLICATE_API_TOKEN=<paste-your-token-here> Visibility Copy. Then. REPLICATE_API_TOKEN,}); Using ControlNet is easy with Replicate 😎. Input an image, and prompt the model to generate an image as you would for Stable Diffusion. 0091 to run on Replicate, or 109 runs per $1, but this varies depending on your inputs. 5-pose-template RealVisXl V3 with multi-controlnet, lora loading, img2img, inpainting Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started fofr / realvisxl-v3-multi-controlnet-lora controlnet 1. Check my examples for calling the API. We don't yet have enough runs of this model to provide performance information. UPDATE: new upscaling algorithm for a much improved image quality. 1, SDXL, controlnet, but also models like Stable Video Diffusion, AnimateDiff, PhotoMaker and more. Menu. 11 to run on Replicate, or 9 runs per $1, but this varies depending on your inputs. 1. 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). Table of Contents Replicate. Pass in control images and set the weights. 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. Input an image, and prompt the model 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. Run this machine learning model on Replicate. This model runs on Nvidia L40S We have not added ControlNet or IP-Adapter into this Dreamshaper canny controlnet Public; 226 runs Run with an API. Predictions typically complete within 91 seconds. 1-dev with lineart condition The model's input as a JSON object. Next, authenticate by setting your API token as an environment variable: export Install Replicate’s Node. 0085 to run on Replicate, or 117 runs per $1, but this varies depending on your inputs. This model is ControlNet adapting Stable Diffusion to use a depth map of an input image in addition to a img2img plus controlnet; inpainting plus controlnet; controlnet conditioning strengths; controlnet start and end controls; SDXL refiner; Image resizing based on width/height, input image or a control image; Disable safety checker via API Run with an API. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Hotshot-XL is compatible with SDXL ControlNet to make GIFs in the composition/layout you’d like. We have a collection of ControlNet models here. 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 A multi-input ControlNet model. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started It supports SD, SD2. XLabs v3 canny, depth and soft edge controlnets for Flux. Predictions typically complete within 90 seconds. The predict time for this model varies significantly based on ControlNet is a neural network structure to control diffusion models by adding extra conditions. Using a ControlNet tile upscaler in the cloud is a great way Learn how to run open-source machine learning models with a cloud API. To start, draw a picture of something that you’d like to generate an image of. Playground API Examples README Versions Modify images with humans using pose detection. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started ControlNet 1. 15 to run on Replicate, or 6 runs per $1, but this varies depending on your inputs. Run open-source machine learning models with a cloud API. Install Replicate’s Node. Run pnyompen/sd-controlnet-lora using Replicate’s API. 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. Run jagilley/controlnet using Replicate’s API. Monster Labs' Controlnet QR Code Monster v2 For SD-1. 5, soft edge works best with 1, and depth works best between 0. 1 Dev Webhooks. The model's input as a JSON object. SDXL Canny controlnet with LoRA support. The run() function returns the output directly, which you can then use or pass as the input to another model. 098 to run on Replicate, or 10 runs per $1, but this varies depending on your inputs. 1-dev model. This is the version trained on Stable Diffusion 2. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Model by Lyumin Zhang. 059 to run on Replicate, or 16 runs per $1, but this varies depending on your inputs. 1 tile for high-quality upscales. Canny works best with 0. 5 on top of AnimateDiff Run with an API. It ControlNet for FLUX. create() function that will be requested by Replicate when the prediction status Run time and cost. 0095 to run on Replicate, or 105 runs per $1, but this varies depending on your inputs. When you run Stable Diffusion on Replicate, you can customize all of these inputs to get a more specific result. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started oranzino / controlnet-openpose-template Modify images with a prompt while preserving their structure Controlnet v1. custom_lora_url. Model description. Playground API Examples README View more examples . This model runs on Controlnet trained on black-forest-labs/FLUX. Input. You can change the M-LSD thresholds to control the effect on the output image. SDXL LCM with multi Run with an API. 023 to run on Replicate, or 43 runs per $1, but this varies depending on your inputs. Run replicategithubwc / newreality-xl-controlnet with an API Use one of our client libraries to get started quickly. Check out the model's schema for an overview of inputs and outputs. Want to make some of these yourself? Run this model Run runvnc / controlnet with an API Use one of our client libraries to get started quickly. 041 to run on Replicate, or 24 runs per $1, but this varies depending on your inputs. Predictions typically complete within 136 seconds. 12 to run on Replicate, or 8 runs per $1, but this varies depending on your inputs. Update, August 2023: We've added fine-tuning support to Using ControlNet is easy with Replicate 😎. Webhooks. 1 by Thibaud Zamora. This model costs approximately $1. Explore Playground Beta Pricing Docs Blog Changelog Sign in Get started Playground Beta Pricing Docs Blog Changelog Sign in Get started Input prompt. SDXL ControlNet - Canny. Run jagilley/controlnet-seg using Replicate’s API. Predictions typically complete within 17 seconds. Collapse sidebar. Run a model SDXL ControlNet - Depth. Predictions typically complete within 39 seconds. Jump to the model overview. 012 to run on Replicate, or 83 runs per $1, but this varies depending on your inputs. The Run replicategithubwc / newreality-xl-controlnet with an API Use one of our client libraries to get started quickly. This model runs on Update, August 2024: The experimental DreamBooth API is no longer available. Detail detection methods. It is also open source and you can run it on your own computer with Docker. 077 to run on Replicate, or 12 runs per $1, but this varies depending on your inputs. SD1. For example, stability-ai/sdxl takes prompt as an input. Predictions typically complete within 79 seconds. Specify the type of structure you want to condition on. 027 to run on Replicate, or 37 runs per $1, but this varies depending on your inputs. Predictions typically complete within 54 seconds. You can merge two images and use an optional third as a controlnet input. predictions. Public Control diffusion models 6. This checkpoint is a conversion of the original checkpoint into diffusers format. Playground API. Webhooks provide real-time updates about your prediction. Run time and cost. 0084 to run on Replicate, or 119 runs per $1, but this varies depending on your inputs. 1 2K runs Run with an API. About the Model. 6K runs License; Run with an API. import Replicate from "replicate"; const replicate = new Replicate (); Modify images using M-LSD line detection. ControlNet. Run replicategithubwc / sdxl-turbo-controlnet with an API Use one of our client libraries to get started quickly. You can learn about pricing for this model on the model page. delivery/pbxt/[id Run time and cost. Nightly release of ControlNet 1. Welcome to the FLUX. Table of Contents ControlNet QR Code Generator: Run with an API. Specify the Canny edge thresholds for more or less details in your image. 068 to run on Replicate, or 14 runs per $1, but this varies depending on your inputs. ControlNet is a neural network structure to control diffusion models by adding extra conditions. 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 time and cost. luspl sfqk bbsd tnzbc lflb evz yvycp fchg ivrcm grgxfd