From 1d738f7a95374500abbb91bd836eedda4e46f254 Mon Sep 17 00:00:00 2001 From: Sheil Kumar Date: Tue, 16 Jul 2024 17:00:25 -0700 Subject: [PATCH] Update Torch-DirectML samples and docs for Torch-DirectML 2.3.0 (#610) * Update Torch-DirectML samples and docs for torch-directml 2.3.0 * Update PyTorch/README.md Co-authored-by: Dwayne Robinson * Update PyTorch/diffusion/sd/README.md Co-authored-by: Dwayne Robinson * Update PyTorch/diffusion/sd/README.md Co-authored-by: Dwayne Robinson * Update PyTorch/diffusion/sd/README.md Co-authored-by: Dwayne Robinson * Update PyTorch/diffusion/sd/app.py Co-authored-by: Dwayne Robinson * Update PyTorch/diffusion/sd/app.py Co-authored-by: Dwayne Robinson --------- Co-authored-by: Sheil Kumar Co-authored-by: Dwayne Robinson --- PyTorch/README.md | 4 +- PyTorch/diffusion/sd/.DS_Store | Bin 0 -> 6148 bytes PyTorch/diffusion/sd/README.md | 58 ++++++++++ PyTorch/diffusion/sd/app.py | 99 ++++++++++++++++++ .../diffusion/sd/assets/slider_dropdown.png | Bin 0 -> 25884 bytes PyTorch/diffusion/sd/assets/t2i.png | Bin 0 -> 1140306 bytes PyTorch/diffusion/sd/assets/tmp31loaztf.png | Bin 0 -> 356127 bytes PyTorch/diffusion/sd/assets/tmpl0cj8qg9.png | Bin 0 -> 389175 bytes PyTorch/diffusion/sd/requirements.txt | 6 ++ 9 files changed, 165 insertions(+), 2 deletions(-) create mode 100644 PyTorch/diffusion/sd/.DS_Store create mode 100644 PyTorch/diffusion/sd/README.md create mode 100644 PyTorch/diffusion/sd/app.py create mode 100644 PyTorch/diffusion/sd/assets/slider_dropdown.png create mode 100644 PyTorch/diffusion/sd/assets/t2i.png create mode 100644 PyTorch/diffusion/sd/assets/tmp31loaztf.png create mode 100644 PyTorch/diffusion/sd/assets/tmpl0cj8qg9.png create mode 100644 PyTorch/diffusion/sd/requirements.txt diff --git a/PyTorch/README.md b/PyTorch/README.md index 36e902fe..1f5333f1 100644 --- a/PyTorch/README.md +++ b/PyTorch/README.md @@ -15,7 +15,7 @@ pip install torch-directml ``` ## Samples -For `torch-directml` samples find brief summaries below or explore the [cv](./cv/), [transformer](./transformer/) or [llm](./llm/) folders: +Try the `torch-directml` samples below, or explore the [cv](./cv/), [transformer](./transformer/), [llm](./llm/) and [diffusion](./diffusion/) folders: * [attention is all you need - the original transformer model](./transformer/attention_is_all_you_need/) * [yolov3 - a real-time object detection model](./cv/yolov3/) * [squeezenet - a small image classification model](./cv/squeezenet) @@ -23,8 +23,8 @@ For `torch-directml` samples find brief summaries below or explore the [cv](./cv * [maskrcnn - an object detection model](./cv/objectDetection/maskrcnn/) * [llm - a text generation and chatbot app supporting various language models](./llm/) * [whisper - a general-purpose speech recognition model](./audio/whisper/) +* [Stable Diffusion Turbo & XL Turbo - a text-to-image generation model](./diffusion/sd/) ## External Links - * [torch-directml PyPI project](https://pypi.org/project/torch-directml/) * [PyTorch homepage](https://pytorch.org/) diff --git a/PyTorch/diffusion/sd/.DS_Store b/PyTorch/diffusion/sd/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..69b371c710b69c52f642e7b67a23bf9c6d299bc0 GIT binary patch literal 6148 zcmeHKOHRWu5S^g~MPkzxVu!ELEh|%n6Z8U*2EihcD+Ttx6j$g8*mD)$cm~w8kys!h zgk~c9jpt*>Pl}x(B3`|;OQHo4RcL}N%7ln{(sg3Nr$8=qJk!t)o32Tzo0#Y?n&jQj z=$-~V4|MSUBS-hRTyIjp-P^^;->156y41j5y1dt3C0%s} zoB?OR8E^)E$^hKr33)ZVJ-q)Y6-~+hS4x9 z!UJJV1!^i=iNTrED8kr=qCUJIY%ywQ~g17#6`ob VD6@#Yqyzm&pb+AnGw=%xd;rTpGUWgO literal 0 HcmV?d00001 diff --git a/PyTorch/diffusion/sd/README.md b/PyTorch/diffusion/sd/README.md new file mode 100644 index 00000000..8590bbc3 --- /dev/null +++ b/PyTorch/diffusion/sd/README.md @@ -0,0 +1,58 @@ +# Stable Diffusion Turbo & XL Turbo +This sample provides a simple way to load and run Stability AI's text-to-image generation models, Stable Diffusion Turbo & XL Turbo, with our DirectML-backend. + +- [About the Models](#about-the-models) +- [Setup](#setup) +- [Run the App](#run-the-app) +- [External Links](#external-links) +- [Model License](#model-license) + + +## About the Models + +Stable Diffusion Turbo & XL Turbo are distilled versions of SD 2.1 and SDXL 1.0 respectively. Both models are fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation. + +Refer to the HuggingFace repositories for [SDXL Turbo](https://huggingface.co/stabilityai/sdxl-turbo) and [SD Turbo](https://huggingface.co/stabilityai/sd-turbo) for more information. + + +## Setup +Once you've set up `torch-directml` following our [Windows](https://learn.microsoft.com/en-us/windows/ai/directml/pytorch-windows) and [WSL](https://learn.microsoft.com/en-us/windows/ai/directml/pytorch-wsl) guidance, install the requirements by running: + + +``` +pip install -r requirements.txt +``` + + +## Run the App +To use Stable Diffusion with the text-to-image interface, run: +```bash +> python app.py +``` + +When you run this code, a local URL will be displayed on the console. Open http://localhost:7860 (or the local URL you see) in a browser to interact with the text-to-image interface. + +Within the interface, use the dropdown to switch between SD Turbo and SDXL Turbo. You can also use the slider to set the number of iteration steps (1 to 4) for image generation. + +![slider_dropdown](assets/slider_dropdown.png) + + +Enter the desired prompt and "Run" to generate an image: +``` +Sample Prompt: A professional photo of a cat eating cake +``` + +Two sample images will be generated: +![image1](assets/t2i.png) + + + +## External Links +- [SDXL Turbo HuggingFace Repo](https://huggingface.co/stabilityai/sdxl-turbo) +- [SD Turbo HuggingFace Repo](https://huggingface.co/stabilityai/sd-turbo) + + +## Model License +The models are intended for both non-commercial and commercial usage under the following licenses: [SDXL Turbo](https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.md), [SD Turbo](https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.md). + +For commercial use, please refer to https://stability.ai/license. diff --git a/PyTorch/diffusion/sd/app.py b/PyTorch/diffusion/sd/app.py new file mode 100644 index 00000000..0b2c8d2d --- /dev/null +++ b/PyTorch/diffusion/sd/app.py @@ -0,0 +1,99 @@ +import torch +import torch_directml +import gradio as gr +from diffusers import AutoPipelineForText2Image, StableDiffusionPipeline, LMSDiscreteScheduler +from PIL import Image +import numpy as np + +def preprocess(image): + w, h = image.size + w, h = map(lambda x: x - x % 32, (w, h)) # resize to integer multiple of 32 + image = image.resize((w, h), resample=PIL.Image.LANCZOS) + image = np.array(image).astype(np.float32) / 255.0 + image = image[None].transpose(0, 3, 1, 2) + image = torch.from_numpy(image) + return 2. * image - 1. + +lms = LMSDiscreteScheduler( + beta_start=0.00085, + beta_end=0.012, + beta_schedule="scaled_linear" +) + +device = torch_directml.device(torch_directml.default_device()) + +block = gr.Blocks(css=".container { max-width: 800px; margin: auto; }") +num_samples = 2 + +def load_model(model_name): + return AutoPipelineForText2Image.from_pretrained( + model_name, + torch_dtype=torch.float16, + variant="fp16" + ).to(device) + +model_name = "stabilityai/sd-turbo" +pipe = load_model("stabilityai/sd-turbo") + +def infer(prompt, inference_step, model_selector): + global model_name, pipe + + if model_selector == "SD Turbo": + if model_name != "stabilityai/sd-turbo": + model_name = "stabilityai/sd-turbo" + pipe = load_model("stabilityai/sd-turbo") + else: + if model_name != "stabilityai/sdxl-turbo": + model_name = "stabilityai/sdxl-turbo" + pipe = load_model("stabilityai/sdxl-turbo") + + images = pipe(prompt=[prompt] * num_samples, num_inference_steps=inference_step, guidance_scale=0.0)[0] + return images + + +with block as demo: + gr.Markdown("

Stable Diffusion Turbo and XL Turbo with DirectML Backend

") + + with gr.Group(): + with gr.Box(): + with gr.Row().style(mobile_collapse=False, equal_height=True): + + text = gr.Textbox( + label="Enter your prompt", show_label=False, max_lines=1 + ).style( + border=(True, False, True, True), + rounded=(True, False, False, True), + container=False, + ) + btn = gr.Button("Run").style( + margin=False, + rounded=(False, True, True, False), + ) + with gr.Row().style(mobile_collapse=False, equal_height=True): + iteration_slider = gr.Slider( + label="Steps", + step = 1, + maximum = 4, + minimum = 1, + value = 1 + ) + + model_selector = gr.Dropdown( + ["SD Turbo", "SD Turbo XL"], label="Model", info="Select the SD model to use", value="SD Turbo" + ) + + gallery = gr.Gallery(label="Generated images", show_label=False).style( + grid=[2], height="auto" + ) + text.submit(infer, inputs=[text, iteration_slider, model_selector], outputs=gallery) + btn.click(infer, inputs=[text, iteration_slider, model_selector], outputs=gallery) + + gr.Markdown( + """___ +

+ Created by CompVis and Stability AI +
+

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