Download stable diffusion

Author: w | 2025-04-24

ComfyUI Custom Nodes Download; Stable Diffusion LoRA Models Download; Stable Diffusion Checkpoint Models Download; Stable Diffusion Embeddings Models Download; Stable Diffusion Upscale Models Download; Stable Diffusion VAE Models Download; Stable Diffusion ControlNet Models Download; More; ComfyUI FAQ; Stable diffusion Term List; ComfyUI Custom Nodes Download; Stable Diffusion LoRA Models Download; Stable Diffusion Checkpoint Models Download; Stable Diffusion Embeddings Models Download; Stable Diffusion Upscale Models Download; Stable Diffusion VAE Models Download; Stable Diffusion ControlNet Models Download; More; ComfyUI FAQ; Stable diffusion Term List; Terms of

Stable Diffusion Playground, Stable Diffusion Online

Command above will yield a MultilingualTextEncoderProjection.mlmodelc file under --output-dir and this should be colocated with the rest of the Core ML model assets that were generated through --bundle-resources-for-swift-cli.Step 5: The multilingual system text encoder can now be invoked by setting useMultilingualTextEncoder to true when initializing a pipeline or setting --use-multilingual-text-encoder in the CLI. Note that the model assets are distributed over-the-air so the first invocation will trigger asset downloads which is less than 100MB.Resources:WWDC23 Session Video: Explore Natural Language multilingual modelsNLContextualEmbedding API Documentation Using Ready-made Core ML Models from Hugging Face Hub Click to expand 🤗 Hugging Face ran the conversion procedure on the following models and made the Core ML weights publicly available on the Hub. If you would like to convert a version of Stable Diffusion that is not already available on the Hub, please refer to the Converting Models to Core ML.6-bit quantized models (suitable for iOS 17 and macOS 14):CompVis/stable-diffusion-v1-4runwayml/stable-diffusion-v1-5stabilityai/stable-diffusion-2-basestabilityai/stable-diffusion-2-1-baseMixed-bit quantized modelsstabilityai/stable-diffusion-xl-base-1.0stabilityai/stable-diffusion-xl-base-1.0-iosUncompressed models:CompVis/stable-diffusion-v1-4runwayml/stable-diffusion-v1-5stabilityai/stable-diffusion-2-basestabilityai/stable-diffusion-2-1-basestabilityai/stable-diffusion-xl-base-1.0stabilityai/stable-diffusion-xl-{base+refiner}-1.0stabilityai/stable-diffusion-3-mediumIf you want to use any of those models you may download the weights and proceed to generate images with Python or Swift.There are several variants in each model repository. You may clone the whole repos using git and git lfs to download all variants, or selectively download the ones you need.To clone the repos using git, please follow this process:Step 1: Install the git lfs extension for your system.git lfs stores large files outside the main git repo, and it downloads them from the appropriate server after you clone or checkout. It is available in most package managers, check the installation page for details.Step 2: Enable git lfs by running this command once:Step 3: Use git clone to download a copy of the repo that includes all model variants. For Stable Diffusion version 1.4, you'd issue the following command in your terminal:git clone you prefer to download specific variants instead of cloning the repos, you can use the huggingface_hub Python library. For example, to do generation in Python using the ORIGINAL attention implementation (read this section for details), you could use the following helper code:from huggingface_hub import snapshot_downloadfrom pathlib import Pathrepo_id = "apple/coreml-stable-diffusion-v1-4"variant = "original/packages"model_path = Path("./models") / (repo_id.split("/")[-1] + "_" + variant.replace("/", "_"))snapshot_download(repo_id, allow_patterns=f"{variant}/*", local_dir=model_path, local_dir_use_symlinks=False)print(f"Model downloaded at {model_path}")model_path would be the path in your local filesystem where the checkpoint was saved. Please, refer to this post for additional details. Converting Models to Core ML Click to expand Step 1: Create a Python environment and install dependencies:conda create -n coreml_stable_diffusion python=3.8 -yconda activate coreml_stable_diffusioncd /path/to/cloned/ml-stable-diffusion/repositorypip install -e .Step 2: Log in to or register for your Hugging Face account, generate a User Access Token and use this token to set up Hugging Face API access by running huggingface-cli login in a Terminal window.Step 3: Navigate to the version of Stable Diffusion that you would like to use on Hugging Face Hub and accept its Terms of Use. The default model version is CompVis/stable-diffusion-v1-4. The model version may be changed by the user as described in the next step.Step 4: Execute the following

Stable Diffusion: Try Stable Diffusion AI

Not as sharp as it should be, requiring you to upscale images for better results. Part 2. How to Use Stable Diffusion Upscaler to Enhance an Image Stable Diffusion is an innovative AI tool that you can use to produce images using text prompts. The tool can produce creative and unique images but at lower resolution. If you want to output the image in higher resolution, upscaling it is required. Fortunately, you can use a Stable Diffusion upscaler to increase the resolution of your generated image. Here’s how to upscale the image in Stable Diffusion: 1. First, install a programming language, like Python, from the official website. Then, you will need to access the Git website to download the right setup. In the Adjusting your PATH environment setup, select Git from the command line and also from 3rd-party software. 2. Once that is done, switch to Click the green Code button and select the Download ZIP option from the dropdown menu. Following this step, you should extract the content to run Stable Diffusion. 3. After completing the previous step, proceed to Download the Stable Diffusion Checkpoints and place them in the correct folder. Note: AUTOMATIC1111’s WebUI path should be C:\stable-diffusion-webui\models\Stable-diffusion. 4. At this stage, you can now start Stable Diffusion WebUI. After installing the Stable Diffusion model, enter a command line in the Terminal window to upscale an image. Afterward, continue by going to the Extras tab and selecting Single Image. 5. Below the image, you will find two tabs

Stable Diffusion webUI Stable Diffusion webUI

Tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (3.4.3)Collecting google-auth-oauthlib=0.4.1Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)Collecting tensorflow-intel==2.12.0Using cached tensorflow_intel-2.12.0-cp310-cp310-win_amd64.whl (272.8 MB)Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (0.31.0)Collecting opt-einsum>=2.3.2Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)Requirement already satisfied: termcolor>=1.1.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (2.3.0)Collecting google-pasta>=0.1.1Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)Requirement already satisfied: typing-extensions>=3.6.6 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (4.6.3)Requirement already satisfied: tensorflow-estimator=2.12.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (2.12.0)Collecting h5py>=2.9.0Using cached h5py-3.8.0-cp310-cp310-win_amd64.whl (2.6 MB)Collecting gast=0.2.1Using cached gast-0.4.0-py3-none-any.whl (9.8 kB)Requirement already satisfied: wrapt=1.11.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (1.14.1)Collecting keras=2.12.0Using cached keras-2.12.0-py2.py3-none-any.whl (1.7 MB)Requirement already satisfied: flatbuffers>=2.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (23.5.26)Requirement already satisfied: six>=1.12.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (1.16.0)Requirement already satisfied: libclang>=13.0.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (16.0.0)Collecting astunparse>=1.6.0Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)Requirement already satisfied: packaging in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (23.1)Collecting jax>=0.3.15Using cached jax-0.4.11-py3-none-any.whlRequirement already satisfied: pyyaml in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (6.0)Requirement already satisfied: torch>=1.4.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (2.0.1+cu118)Requirement already satisfied: psutil in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (5.9.5)Requirement already satisfied: filelock in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from diffusers~=0.14.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 4)) (3.12.0)Requirement already satisfied: huggingface-hub>=0.10.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from diffusers~=0.14.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 4)) (0.15.1)Requirement already satisfied: regex!=2019.12.17 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from diffusers~=0.14.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 4)) (2023.5.5)Collecting importlib-metadataUsing cached importlib_metadata-6.6.0-py3-none-any.whl (22 kB)Requirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,=1.6.2 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from fastapi~=0.94.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 6)) (1.10.8)Requirement already satisfied: starlette=0.26.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from fastapi~=0.94.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 6)) (0.26.1)Requirement already satisfied: gitdb=4.0.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from gitpython~=3.1.31->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 7)) (4.0.10)Requirement already satisfied: colorama in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from tqdm~=4.64.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 10)) (0.4.6)Requirement already satisfied: tokenizers!=0.11.3,=0.11.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from transformers~=4.26.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 11)) (0.13.3)Requirement already satisfied: smmap=3.0.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from gitdb=4.0.1->gitpython~=3.1.31->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 7)) (5.0.0)Requirement already satisfied: urllib3=1.6.3->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (1.26.16)Requirement already satisfied: pyasn1-modules>=0.2.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from google-auth=1.6.3->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (0.3.0)Requirement already satisfied: cachetools=2.0.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from google-auth=1.6.3->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (5.3.1)Requirement already satisfied: rsa=3.1.4 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from google-auth=1.6.3->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (4.9)Requirement already satisfied: requests-oauthlib>=0.7.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from google-auth-oauthlib=0.4.1->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (1.3.1)Requirement already satisfied: fsspec in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from huggingface-hub>=0.10.0->diffusers~=0.14.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 4)) (2023.5.0)Requirement. ComfyUI Custom Nodes Download; Stable Diffusion LoRA Models Download; Stable Diffusion Checkpoint Models Download; Stable Diffusion Embeddings Models Download; Stable Diffusion Upscale Models Download; Stable Diffusion VAE Models Download; Stable Diffusion ControlNet Models Download; More; ComfyUI FAQ; Stable diffusion Term List; ComfyUI Custom Nodes Download; Stable Diffusion LoRA Models Download; Stable Diffusion Checkpoint Models Download; Stable Diffusion Embeddings Models Download; Stable Diffusion Upscale Models Download; Stable Diffusion VAE Models Download; Stable Diffusion ControlNet Models Download; More; ComfyUI FAQ; Stable diffusion Term List; Terms of

Fooocus: Stable Diffusion simplified - Stable Diffusion Art

Of adding noise to an image, we start directly with pure Gaussian noise. The Stable Diffusion model then iteratively denoises it to generate the final image. We can control the number of denoising steps, which is called sampling steps. If it is a pure diffusion model (not conditioned on text prompt), then the process will be similar to the following: Figure 10. Unconditional image generation using diffusion models But here, we have a text prompt, and the noise needs to be conditioned on the text prompts. So, the process looks like this: Figure 11. Stable Diffusion inference process. Apart from the input image and the encoder (which we don’t need anymore), every other component remains the same. But, we spoke about sampling steps just above. How does that look in this entire process? This can be better explained by expanding the UNet and showing the denoising process. Figure 12. Stable Diffusion inference process with expanded UNet time step. We can call the above process the reverse diffusion process, as the model generates images from noise. Some Practical Considerations Here are some points to clarify a few concepts about the inference stage: The input prompt need not b 75 words long exactly. We can also provide shorter and longer prompts as well. During inference, the UNet still generates an image with a 64×64 spatial dimension. The decoder part of the autoencoder is both an upsampler and a super-resolution model combined. This generates the final 512×512 image. But as of today, from a completely practical perspective, we can generate images of any resolution as long as we can afford the GPU memory. We have thoroughly discussed the training and inference of Stable Diffusion, thus marking the end of a long theoretical journey. Moving forward to the next section, we will explore various versions and variations of Stable Diffusion. Different Versions of Stable Diffusion Since its release, Stable Diffusion has undergone many revisions and updates. Stable Diffusion was initially introduced as version 1.4 by CompVis and RunwayML, followed by version 1.5 by RunwayML. The current owner, StabilityAI, maintains the latest iterations, Stable Diffusion 2.0 and 2.1. These are the official versions of Stable Diffusion. In addition, there exist numerous finely tuned Stable Diffusion models that can produce images in specific art styles. We will delve into them further in the upcoming section. Download Code To easily follow along this tutorial, please download code by clicking on the button below. It's FREE! Variations of Stable Diffusion Here, we will discuss some of the more famous variations of Stable Diffusion among the many that are out there. All of these models are obtained by fine-tuning one of the base Stable Diffusion versions. Do you also

Stable Diffusion Tutorial - How to use Stable Diffusion

TABLE OF CONTENTS1What’s Stable Diffusion?Why Is Stable Diffusion Such a Big Deal?Stable Diffusion — PC RequirementsProcessor [CPU]RAMGraphics Card [GPU]Should I Use a Community Fork of Stable Diffusion?StorageBest PC for Stable Diffusion — Build RecommendationsEntry-level Stable Diffusion PC Build at $700Mid-range Stable Diffusion PC Build at $1000High-End Stable Diffusion PC Build at $1500Can You Run Stable Diffusion on a Laptop?Can You Run Stable Diffusion on a Mac?ConclusionFAQCan I Run Stable Diffusion on a Mac?Can I Use an AMD GPU for Stable Diffusion?Do I Need a Strong CPU for Stable Diffusion?How Much RAM Do I Need for Stable Diffusion?Can I Run Stable Diffusion Without a GPU?Do I Need a Strong GPU to Run Stable Diffusion?Does Stable Diffusion Scale With the Number of Steps?Over to YouDiffusion Art has taken the world by storm.That much is a fact, and the same can be said for all sorts of AI-driven tools and applications, all of which seem to be ushering in a different kind of world — one that came a lot sooner than most of us expected.The best part about it is that it’s completely democratized in nature — there’s no paywall, no long queue, no waiting list.Anyone can hop online and generate whatever their heart desires or, alternatively, download the necessary software and use Stable Diffusion locally without an internet connection.It’s an incredible, if a bit frightening thing, given the world we now live in. Widespread misinformation, deep fakes, and now, as of late, broadly used and surprisingly effective AI-generated art. It was inevitable, given the rapid speed at which technology has been evolving.Still, we’re not here to tackle the moral conundrum of it all but, instead, to talk about what it takes to run Stable Diffusion and how powerful a computer you need in order to join in on the fun.So, without any further ado, let’s begin.What’s Stable Diffusion?Stable Diffusion is a text-to-image, deep-learning model that was released in August 2022.It can be used to generate incredibly detailed and complex images with a simple text query, but can also be employed for the purposes of inpainting, outpainting, and a myriad of other tasks. It can run on fairly modest hardware and is primarily GPU-bound.Moreover, the images it creates can be stored and generated locally unlike most other text-to-image models like DALL-E and Midjourney. This allows for a higher level of privacy and it also circumvents any potential cloud computing costs.All you need

GitHub - apple/ml-stable-diffusion: Stable Diffusion

Already satisfied: idna=2.5 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from requests=2.21.0->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (3.4)Requirement already satisfied: certifi>=2017.4.17 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from requests=2.21.0->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (2023.5.7)Requirement already satisfied: charset-normalizer=2 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from requests=2.21.0->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (3.1.0)Requirement already satisfied: anyio=3.4.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from starlette=0.26.1->fastapi~=0.94.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 6)) (3.7.0)Requirement already satisfied: networkx in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from torch>=1.4.0->accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (3.1)Requirement already satisfied: sympy in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from torch>=1.4.0->accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (1.12)Requirement already satisfied: jinja2 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from torch>=1.4.0->accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (3.1.2)Requirement already satisfied: MarkupSafe>=2.1.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from werkzeug>=1.0.1->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (2.1.2)Requirement already satisfied: zipp>=0.5 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from importlib-metadata->diffusers~=0.14.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 4)) (3.15.0)Requirement already satisfied: sniffio>=1.1 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from anyio=3.4.0->starlette=0.26.1->fastapi~=0.94.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 6)) (1.3.0)Requirement already satisfied: exceptiongroup in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from anyio=3.4.0->starlette=0.26.1->fastapi~=0.94.1->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 6)) (1.1.1)Collecting ml-dtypes>=0.1.0Using cached ml_dtypes-0.1.0-cp310-cp310-win_amd64.whl (120 kB)Requirement already satisfied: scipy>=1.7 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 15)) (1.10.1)Requirement already satisfied: pyasn1=0.4.6 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth=1.6.3->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (0.5.0)Requirement already satisfied: oauthlib>=3.0.0 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib=0.4.1->tensorboard==2.12.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 14)) (3.2.2)Requirement already satisfied: mpmath>=0.19 in d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages (from sympy->torch>=1.4.0->accelerate~=0.18.0->-r D:\Stable Diffusion\stable-diffusion-webui-1.3.1\extensions\sd_dreambooth_extension\requirements.txt (line 1)) (1.3.0)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -rotobuf (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -illow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution - (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)Installing collected packages: Pillow, opt-einsum, ml-dtypes, keras, importlib-metadata, h5py, google-pasta, gast, dadaptation, astunparse, jax, gitpython, discord-webhook, transformers, lion-pytorch, google-auth-oauthlib, fastapi, diffusers, tensorboard, tensorflow-intel, tensorflowAttempting uninstall: PillowWARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -rotobuf (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -illow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution - (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)Found existing installation: Pillow 9.5.0Uninstalling Pillow-9.5.0:Successfully uninstalled Pillow-9.5.0ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'D:\Stable Diffusion\stable-diffusion-webui-1.3.1\venv\Lib\site-packages\~%l\_imaging.cp310-win_amd64.pyd'Check the permissions.WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -rotobuf (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -illow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution - (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -rotobuf (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -illow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution - (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -rotobuf (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -llow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution -illow (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)WARNING: Ignoring invalid distribution - (d:\stable diffusion\stable-diffusion-webui-1.3.1\venv\lib\site-packages)[notice] A. ComfyUI Custom Nodes Download; Stable Diffusion LoRA Models Download; Stable Diffusion Checkpoint Models Download; Stable Diffusion Embeddings Models Download; Stable Diffusion Upscale Models Download; Stable Diffusion VAE Models Download; Stable Diffusion ControlNet Models Download; More; ComfyUI FAQ; Stable diffusion Term List;