The Core ML port is a simplification of the Stable Diffusion implementation from the diffusers library. This repository comprises: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python. This Xcode project does not contain the CoreML models of Stable Diffusion with Core ML on Apple Silicon. 0 and macOS 14. torch2coreml --convert-unet --convert-text-encoder --convert-vae-decoder --convert-vae Stable Diffusion with Core ML on Apple Silicon. It seems there are some related PRs though. This will be flattened in the converted model. The v2 model in particular is known to be almost garbage without negative prompts. Convert CoreML models The inference script assumes you’re using the original version of the Stable Diffusion model, CompVis/stable-diffusion-v1-4. 11 to 3. py . 9, then it rans into errors. May 18, 2023 · Device:Macbook Pro M1 MacOS: 13. The CKPT → All and SafeTensors → All options will convert your model to Diffusers, then Diffusers to ORIGINAL, ORIGINAL 512x768, ORIGINAL 768x512, and SPLIT_EINSUM — all in one go. This repository comprises: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python Contribute to 3c1u/coreml-stable-diffusion-play development by creating an account on GitHub. py Core ML 은 Apple 프레임워크에서 지원하는 모델 형식 및 머신 러닝 라이브러리입니다. Other Stable Diffusion apps are exhibiting similar issues — System Info: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python StableDiffusion , a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. Conversion Download the model from HuggingFace or Civit. It takes a long time (a few minutes) for the first run. coreml-stable-diffusion-xl-base. python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python StableDiffusion , a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. 2 beta, Python 3. You are free to do or not. After this initialization step, it only takes a few tens of seconds to generate an image. Feb 1, 2023 · iMac Retina 5K, 2020. pipeline --prompt " a photo of an astronaut riding a horse on mars "-i models -o data/processed --compute-unit ALL --seed 193 DVC Pipelines Setting up a dvc remote + dvc. 24. Swift CoreML stable diffusion image generation with example in SwiftUI macos ios - Releases · The-Igor/coreml-stable-diffusion-swift Aug 27, 2023 · P. Contribute to exsyao/apple-ml-stable-diffusion development by creating an account on GitHub. *" micromamba activate stable-diffusion cd ml-stable-diffusion pip install -e . Repo README Contents Copy this template and paste it as a header: apple/coreml-stable-diffusion-xl-base is a complete pipeline, without any quantization. You can do this using a conversion script like the one in diffusers - diffusers convert . I guess the issue here is the absence of a way to append negative prompts to the input prompt. Jun 15, 2023 · If you want to apply quantization, you need the latest versions of coremltools, apple/ml-stable-diffusion and Xcode in order to do the conversion. This stable-diffusion-2-1-base model fine-tunes stable-diffusion-2-base (512-base-ema. py This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. mlpackage file. I don't know if it is right that I think it should generate . 44 it / s (0. 1. 6 GHz 10-Core Intel Core i9. 3. This version contains Core ML weights with the ORIGINAL attention implementation, suitable for running on macOS GPUs. You will have to use a Development Build or build it locally using Xcode! Run Stable Diffusion on Apple Silicon with Core ML. This project breaks the limitation that Stable Diffusion CoreML Model only supports a single resolution. Repo Name Repos are named with the original diffusers Hugging Face / Civitai repo name prefixed by coreml-and have a _cn suffix if they are ControlNet compatible. \n \n Details (Click to expand) \n \n; This benchmark was conducted by Apple using public beta versions of iOS 17. Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro - stable_diffusion_m1. It does consume 600 J of energy/image when running entirely on GPU, but the PyTorch version completes in 26 seconds. ckpt to stable diffusion model. It's used to load models in Stable Diffusion. CoreML swift stable diffusion image to image generation Swiftui example for using CoreML diffusion model in macos real-time applications The example app to run text to image or image to image models GPT diffusers - The-Igor/coreml-stable-diffusion-swift-example Dec 7, 2022 · Saved searches Use saved searches to filter your results more quickly Stable Diffusion with Core ML on Apple Silicon. No need for complicated model conversion, no need for duplicate and huge models to waste disk space, Compatible with the official apple/ml-stable-diffusion project and apps using this project, such as Mochi Diffusion. To associate your repository with the stable-diffusion topic, visit your repo's landing page and select "manage topics. Thanks to Apple engineers, you can now run Stable Diffusion on Apple Silicon using Core ML! This Apple repo provides conversion scripts and inference code based on 🧨 Diffusers, and we love it! To make it as easy as possible for you, we converted the weights ourselves and put the Core ML versions of the models in the Hugging Face Hub. 9. For example: coreml-stable-diffusion-1-5_cn. Dec 1, 2022 · Apple very recently added support to convert Stable Diffusion models to the CoreML format to allow for faster generation time. 69 s / it) CoreML / ALL (CPU+GPU+ANE) / Apple's SPLIT_EINSUM config: 1. InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. ckpt file, you can do so following these steps: Step One: First prepare to send the whole model (not just . 1 models that should work well together. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Mar 25, 2023 · A minimal iOS app that generates images using Stable Diffusion v2. This repository comprises: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python Nov 13, 2023 · after changing coreml-stable-diffusion-v1-5-palettized_split_einsum_v2_compiled. 5 it also convert done. I tested WebUI with the exact same settings as Apple's ML stable diffusion. compare that to fine-tuning SD 2. To review, open the file in an editor that reveals hidden Unicode characters. conda activate coreml_stable_diffusion. New stable diffusion finetune ( Stable unCLIP 2. sh and convert-safetensors. A model that learns visual concepts from natural language supervision. INFO: main :Converting unet to CoreML. py Dec 21, 2022 · graphicagenda changed the title Fresh install of coreml_stable_diffusion and getting 'bumpy' has no attribute 'bool' Fresh install of coreml_stable_diffusion and getting 'numpy' has no attribute 'bool' Dec 22, 2022 Below is a link to repo on Hugging Face with several Stable Diffusion v1. micromamba create -n stable-diffusion -c conda-forge python="3. Oct 24, 2023 · And this device I convert the model in pyenv 3. pipeline --prompt \" a photo of an astronaut riding a horse on mars \" --compute-unit ALL -o output --seed 93 -i models/coreml-stable-diffusion-v1-5_original_packages --model-version runwayml/stable-diffusion-v1-5 Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro - stable_diffusion_m1. 1, Hugging Face) at 768x768 resolution, based on SD2. Feel free to share more data in our Swift Core ML Diffusers repo :) Clone or download the pre-converted Stable Diffusion 2 model repository. Before running the sample project, you must put the model files in the Assets/StreamingAssets directory. . Takes 14. MPSGraph / GPU (Maple Diffusion): 1. python -m python_coreml_stable_diffusion. 9s to run inference using ORIGINAL attention with compute units CPU AND GPU. A model that learns a latent representation of images. Or if the model have sample project link, try it and see how to use the model in the project. Core ML Stable Diffusion. Contribute to womboai/coreml-stable-diffusion development by creating an account on GitHub. torch2coreml is broken as of yesterday (when numpy v1. Activate the Conda environment. Feb 10, 2024 · Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro - stable_diffusion_m1. file_download import repo_folder_name from pathlib import Path import shutil repo_id = "apple/coreml-stable-diffusion-v1-4" var when fine-tuning SDXL at 256x256 it consumes about 57GiB of VRAM at a batch size of 4. This process takes a while, as several GB of data have to be downloaded and unarchived. This application can be used for faster iteration, or as sample code for any use cases. computeUnits = . bool which coremltools uses. 98 on the same dataset. For example: stable-diffusion-1-5_original_512x768_ema-vae_cn. You can create images specifying any prompt (text) such as "a photo of an astronaut riding a horse on mars". Dec 4, 2022 · edited. 85 it / s. Dec 19, 2022 · Mirroring an issue I created in the coremltools repo: apple/coremltools#1718. Swift 38. Download apple/ml-stable-diffusion from the repo and follow the installation Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro - stable_diffusion_m1. If you like this repository, please give me a star so I can do my best. as per the setup instructions before running python_coreml_stable_diffusion. Languages. Checkpoint: A file that contains the weights of a model. 5, from this location in the Hugging Face Hub. This works for models already supported and custom models you trained or fine-tuned yourself. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products. zip model and set config. " GitHub is where people build software. The Core ML weights are also distributed as a zip archive for use in the Hugging Face demo app and other third Core ML is an Apple framework to integrate machine learning models into your app. Sign in Diffusers → SPLIT_EINSUM. cpuAndNeuralEngine, it take 4xx sec to load all of the model on my iPhone 12, but it crash again on generateImages. 5 (Hub id: runwayml/stable-diffusion-v1-5): \n python -m python_coreml_stable_diffusion. VAE: Variational Autoencoder. Download Xcode 15. Contribute to apple/ml-stable-diffusion development by creating an account on GitHub. Tested on Stable Diffusion 2 Base with 25 inference steps of the DPM-Solver++ scheduler. INFO: main :Done. Run Stable Diffusion on Apple Silicon with Core ML. Dec 10, 2022 · My performance report was kind of a false alarm. stable_diffusion_m1. 1-768. They are for use with a suitable Swift app or the SwiftCLI, based on ml-stable-diffusion in either case. @alelordelo If you want to convert a model to mps from a . 0 in June 2023. 0 beta from the releases page in GitHub. If you run into issues during installation or runtime, please refer to Run Stable Diffusion on Apple Silicon with Core ML. CoreML stable diffusion image generation The package is a mediator between Apple's Core ML Stable Diffusion implementation and your app that let you run text-to-image or image-to-image models How to use the package For Stable Diffusion 1. Size went down Sep 9, 2022 · Stable Diffusion on Apple Silicon GPUs via CoreML; 2s / step on M1 Pro - stable_diffusion_m1. for 8x the pixel area. Contribute to gmh5225/AI-ml-stable-diffusion development by creating an account on GitHub. For faster inference, we use a very fast scheduler: DPM-Solver++ that we ported to Swift. Stable Diffusion with Core ML on Apple Silicon. They have all been converted to Apple's CoreML format. This repository comprises: StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. 1 (22E261) Version of ml-stable-diffusion: master of github repo Cmd: python3 -m python_coreml_stable_diffusion. 0_unet. GPU: AMD Radeon Pro 5700 XT 16 GB. TextToImage_StableDiffusionV2. How to use. 5 type models and a number of ControlNet v1. Mochi Diffusion and Diffusion Bee are fantastic apps, and they work very fast natively on M1 / M2 , but they are very limited , it would be great to have it all in A1111 Beta Was this translation helpful? Contribute to 3c1u/coreml-stable-diffusion-play development by creating an account on GitHub. Clone or download the pre-converted Stable Diffusion 2 model repository. 8. It's used as a prior in Stable Diffusion. That compares favorably to the minimum 24 seconds with this repository and better than the 37 seconds ️ expo-stable-diffusion currently only works on iOS due to the platform's ability to run Stable Diffusion models on Apple Neural Engine! ️ This package is not included in the Expo Go. Stable UnCLIP 2. Download coremltools 7. If you use another model, you have to specify its Hub id in the inference command line, using the --model-version option. pipeline import get_coreml_pipe prompt = "ufo glowing 8k" negative_prompt = "" SDP = StableDiffusionXLPipeline pytorch_pipe = SDP. Core ML provides a unified representation for all models. Core ML Stable Diffusion is Apple's recommended way of running Stable Diffusion in Swift, using CoreML instead of MPSGraph. Rename the directory to StableDiffusion. CoreML was originally much slower than MPSGraph (I tried it back in August), but Apple has improved CoreML performance a lot on recent macOS / iOS versions. With v1-5 you should get nicer outputs for the time being. This repository comprises: python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python Aug 4, 2023 · It runs already 4 hours and it currently generate Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-1. . Branch: main Conversion command: python -m python_coreml_stable_diffusion. I tried to remove pyenv and venv, then from python 3. CoreML Stable Diffusion CLI Example. This application can be used for faster iteration, or as sample code for any use Stable Diffusion with Core ML on Apple Silicon. This model was generated by Hugging Face using Apple’s repository which has ASCL. These weights here have been converted to Core ML for use on Apple Silicon hardware. 1 at 1024x1024 which consumes about the same at a batch size of 4. py Toggle navigation. Python 62. Contribute to lhggame/CoreML-stable-diffusion development by creating an account on GitHub. ckpt) with 220k extra steps taken, with punsafe=0. Apr 19, 2023 · I found coreml_stable_diffusion is available to improve the performance on Mac M1/M2, is it any plan to support it or anyone know how to add it? Thanks! Stable Diffusion with Core ML on Apple Silicon for React Native - jeongshin/react-native-ml-stable-diffusion Stable Diffusion with Core ML on Apple Silicon. StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to Saved searches Use saved searches to filter your results more quickly Jul 31, 2023 · Saved searches Use saved searches to filter your results more quickly Aug 20, 2023 · Just following up here, if you're trying to get this working in Python: from diffusers import StableDiffusionXLPipeline from python_coreml_stable_diffusion. It would be nice to support this conversion pipeline within the web UI, perhaps as an option in an extras tab or checkpoint merger (its not really a merge per say, but it could apply?) This model card focuses on the model associated with the Stable Diffusion v2-1-base model. yaml with the above code is rather simple and can be done straight forward. Change model name. 0, iPadOS 17. WARNING:coremltools:Tuple detected at graph output. Navigate to the folder where the script is located via cd /<YOUR-PATH> (you can also type cd and then drag the folder into the Terminal app) Now you have two options: If your model is in CKPT format, run. 0 This means that the trace might not generalize to other inputs! assert inputs. Contribute to Ivansstyle/coreml-stable-diffusion development by creating an account on GitHub. 0 beta from Apple developer site. Contribute to ocordeiro/api-coreml-stable-diffusion development by creating an account on GitHub. ckpt). S. 0 was released) because v1. I don't know what's happen but I just switch pyenv python version from 3. 0%. All the steps will show a success or failure log message, including a visual and auditory system notification. x. py Nov 17, 2023 · This process takes ~1min to complete. Dec 20, 2022 · edited. mlmodelc file? I just want to ask first to avoid the program executing in vain. Copy the split_einsum/compiled directory into Assets/StreamingAssets. 11. StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. ai and set the paths in convert-coreml. This is Apple's recommended config for good reason, but I observe a huge on-initial-model-load delay waiting for ANECompilerService, which makes it annoying to use in practice 😞. And you can run the app on Mac, building as a Designed for iPad app. 6 I reinstall the ml-stable-diffusion requirements, and run the conversion command, it still got errors. The Swift package relies on the Core ML model files generated by python_coreml_stable_diffusion. 8 # apple/ml-stable-diffusion v0. Even more peculiarly, this behavior isn’t unique to just this app. It's used as a text encoder in Stable Diffusion. apple/coreml-stable-diffusion-mixed-bit-palettization contains (among other artifacts) a complete pipeline where the UNet has been replaced with a mixed-bit palettization recipe that achieves a compression equivalent to 4. Contribute to Niccari/coreml-stable-diffusion-cli-example development by creating an account on GitHub. num_channels. macOS 또는 iOS/iPadOS 앱 내에서 Stable Diffusion 모델을 실행하는 데 관심이 있는 경우, 이 가이드에서는 기존 PyTorch 체크포인트를 Core ML 형식으로 변환하고 이를 Python 또는 Swift로 Apr 9, 2023 · Strangely, the stable-diffusion-2-1-base does work so I’m pretty confused and wanted to report this issue because this would heavily restrict users who want to use models beyond SD 1. py Saved searches Use saved searches to filter your results more quickly Dec 17, 2022 · # Converting Stable Diffusion v2 models to CoreML models, Dec 17,2022 # # MacBook Air/M1/8GB memory, macOS 13. Feb 10, 2024 · MPSGraph / GPU (Maple Diffusion): 1. This is a native app that shows how to integrate Apple's Core ML Stable Diffusion implementation in a native Swift UI application. 0 removes np. Take a look this model zoo, and if you found the CoreML model you want, download the model from google drive link and bundle it in your project. \n; The performance data was collected by running the StableDiffusion Swift pipeline. 5 bits per parameter. Dec 1, 2022 · Next Steps. This is a simple project which can convert the user prompt text to artwork using Stable diffusionV2 . Running pip install -e . size (1) == self. On first launch, the application downloads a zipped archive with a Core ML version of Runway's Stable Diffusion v1. torch2coreml --model-version Lykon/DreamShaper --convert-unet --convert-text-encoder --conv Apr 3, 2023 · Dear Teams, I download the model by python from huggingface_hub import snapshot_download from huggingface_hub. from_pretrained (. You can run the app on above mobile devices. Processor: 3. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. Swift Core ML Diffusers 🧨. bk tm pn jw ux wc yf dz uo ts