fix(docs): explain extras file format in user guide
This commit is contained in:
parent
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@ -25,13 +25,7 @@ Please see [the server admin guide](server-admin.md) for details on how to confi
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- [Modes and tabs](#modes-and-tabs)
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- [Image history](#image-history)
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- [Scheduler comparison](#scheduler-comparison)
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- [Models](#models)
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- [Adding your own models](#adding-your-own-models)
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- [Model names](#model-names)
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- [Model sources](#model-sources)
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- [Downloading models from Civitai](#downloading-models-from-civitai)
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- [Downloading models from HuggingFace](#downloading-models-from-huggingface)
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- [Using a custom VAE](#using-a-custom-vae)
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- [Model and network types](#model-and-network-types)
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- [Prompts](#prompts)
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- [General structure](#general-structure)
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- [Useful keywords](#useful-keywords)
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@ -67,6 +61,14 @@ Please see [the server admin guide](server-admin.md) for details on how to confi
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- [Image history setting](#image-history-setting)
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- [API server setting](#api-server-setting)
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- [Reset tab buttons](#reset-tab-buttons)
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- [Adding your own models](#adding-your-own-models)
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- [Model names](#model-names)
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- [Model sources](#model-sources)
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- [Downloading models from Civitai](#downloading-models-from-civitai)
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- [Downloading models from HuggingFace](#downloading-models-from-huggingface)
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- [Using a custom VAE](#using-a-custom-vae)
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- [Permanently blending additional networks](#permanently-blending-additional-networks)
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- [Extras file format](#extras-file-format)
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- [Known errors](#known-errors)
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- [Check scripts](#check-scripts)
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- [Check environment script](#check-environment-script)
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@ -151,7 +153,7 @@ DEIS multistep and Euler Ancestral schedulers.
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![tilt shift photographs of excavators over a pile of loose dirt](output/excavator-pipe.png)
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## Models
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### Model and network types
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The [ONNX runtime](https://onnxruntime.ai/) is a library for accelerating neural networks and machine learning models,
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using [the ONNX file format](https://onnx.ai/) to share them across different platforms. ONNX web is a server to run
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@ -161,7 +163,8 @@ The models used by ONNX web are split up into four groups:
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1. Diffusion
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1. general models like [Stable Diffusion](https://huggingface.co/runwayml/stable-diffusion-v1-5)
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2. specialized models like [Knollingcase](https://huggingface.co/Aybeeceedee/knollingcase) or [OpenJourney](https://huggingface.co/prompthero/openjourney)
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2. specialized models like [Knollingcase](https://huggingface.co/Aybeeceedee/knollingcase) or
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[OpenJourney](https://huggingface.co/prompthero/openjourney)
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2. Upscaling
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1. [Real ESRGAN](https://github.com/xinntao/Real-ESRGAN)
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2. [Stable Diffusion](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler)
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@ -172,189 +175,9 @@ The models used by ONNX web are split up into four groups:
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1. [LoRA](https://arxiv.org/abs/2106.09685)
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2. [Textual Inversion](https://textual-inversion.github.io/)
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There are many other models available and specialized variations for anime, TV shows, and all sorts of other styles.
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### Adding your own models
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You can convert and use your own models without making any code changes by copying
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[the `api/extras.json` file](../api/extras.json) and adding the models you would like to use:
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```json
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{
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"diffusion": [
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{
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"name": "diffusion-knollingcase",
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"source": "Aybeeceedee/knollingcase"
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},
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{
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"name": "diffusion-openjourney",
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"source": "prompthero/openjourney"
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},
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{
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"name": "diffusion-stablydiffused-aesthetic-v2-6",
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"source": "civitai://6266?type=Pruned%20Model&format=SafeTensor",
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"format": "safetensors"
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},
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{
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"name": "diffusion-unstable-ink-dream-onnx-v6",
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"source": "civitai://5796",
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"format": "safetensors"
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}
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],
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"correction": [],
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"upscaling": [
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{
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"name": "upscaling-real-esrgan-x4-anime",
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"source": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
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"scale": 4
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}
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],
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"networks": [
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{
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"name": "cubex",
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"source": "sd-concepts-library/cubex",
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"format": "ckpt",
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"label": "Cubex",
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"type": "inversion"
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},
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{
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"name": "minecraft",
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"source": "sd-concepts-library/minecraft-concept-art",
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"format": "ckpt",
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"label": "Minecraft Concept",
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"type": "inversion"
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},
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],
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"sources": [
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{
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"name": "vae-ft-mse-840000-ema-pruned",
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"source": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors",
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"format": "safetensors"
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}
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]
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}
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```
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Models can be added from the directories used by `diffusers` as well as SafeTensor and pickle tensor checkpoints. See
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[the converting models guide](converting-models.md) for more details.
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Be careful loading pickle tensors, as they may contain unsafe code which will be executed on your machine. Use
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SafeTensors instead whenever possible.
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Set the `ONNX_WEB_EXTRA_MODELS` environment variable to the path to your file and make sure to use the `launch-extras`
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script. For example:
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```shell
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# on Linux:
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> export ONNX_WEB_EXTRA_MODELS=~/onnx-web-extras.json
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> ./launch-extras.sh
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# on Windows:
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> set ONNX_WEB_EXTRA_MODELS=C:\Users\ssube\onnx-web-extras.json
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> launch-extras.bat
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```
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Extras using the older file format with nested arrays (`"diffusion": [[]]`) can be mixed with the newer format. You
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only need to convert them into the newer format if you need to use keys other than `name`, `source`, and `scale`.
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### Model names
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The `name` of each model dictates which category it will appear in on the client.
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- `diffusion-*` or `stable-diffusion-*` for diffusion models
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- `upscaling-*` for upscaling models
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- `correction-*` for correction models
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Models that do not match one of the prefixes will not be shown, so if you cannot find a model that you have converted,
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make sure it is named correctly. This applies to models in the `extras.json` file as well as models you have created,
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converted, or copied outside of the conversion script.
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### Model sources
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You can either provide the path to a local model that you have already downloaded or provide a URL to be
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automatically downloaded, using HTTPS or one of the pre-defined sources:
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- `huggingface://`
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- https://huggingface.co/models?other=stable-diffusion
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- mostly SFW
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- requires an account to download some models
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- `civitai://`
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- https://civitai.com/
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- some NSFW
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- does not require an account
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- `https://`
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- any other HTTPS source
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- `../models/.cache/your-model.safetensors`
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- relative paths
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- `/home/ssube/onnx-web/models/.cache` or `C:\Users\ssube\onnx-web\models\.cache`
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- absolute paths
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If the model is a single file and the `source` does not include a file extension like `.safetensors` or `.ckpt`, make
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sure to indicate the file format using the `format` key. You do not need to provide the `format` for directories and
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models from the HuggingFace hub.
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#### Downloading models from Civitai
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Use the `civitai://` protocol to download models from [the Civitai catalog](https://civitai.com/).
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When downloading models from Civitai, the ID shown in the browser URL bar _may not be_ the ID of the model itself.
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Since models can have multiple versions, make sure you use the correct ID. Use the model ID from the download link,
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which you can see and copy from the right-click menu:
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![Chrome context menu with Copy link address highlighted](guide-civitai.png)
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You want the Pruned SafeTensor, if one is available. Be careful downloading PickleTensors, they may contain unsafe
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code. The original, non-pruned models are much larger but are better for training.
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#### Downloading models from HuggingFace
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Use the `huggingface://` protocol to download models from [the HuggingFace hub](https://huggingface.co/models?other=stable-diffusion).
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Most models will detect and download all of the necessary files, while Textual Inversions with `"model": "concept"`
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will only download the `trained_embeds.bin` file.
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When downloading models from HuggingFace, you can use the copy button next to the repository name:
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![Stable Diffusion v1.5 model card with Copy model name option highlighted](guide-huggingface.png)
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### Using a custom VAE
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You can use a custom VAE when converting models. Some models require a specific VAE, so if you get weird results,
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check the model card for a specific VAE. This works for both diffusers directories and original SD checkpoints. You
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can use the `sources` field in the extras file to download the VAE file or provide a HuggingFace model name.
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```json
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{
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"diffusion": [
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{
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"name": "diffusion-stablydiffused-aesthetic-v2-6-ema",
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"source": "civitai://6266?type=Pruned%20Model&format=SafeTensor",
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"format": "safetensors",
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"vae": ".cache/vae-ft-mse-840000-ema-pruned.safetensors"
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},
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{
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"name": "stable-diffusion-onnx-v1-4",
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"source": "CompVis/stable-diffusion-v1-4",
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"vae": "stabilityai/sd-vae-ft-ema"
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}
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],
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"correction": [],
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"upscaling": [],
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"sources": [
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{
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"name": "vae-ft-mse-840000-ema-pruned",
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"source": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors",
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"format": "safetensors"
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}
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]
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}
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```
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Some common VAE models include:
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- https://huggingface.co/stabilityai/sd-vae-ft-ema
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- https://huggingface.co/stabilityai/sd-vae-ft-ema-original
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- https://huggingface.co/stabilityai/sd-vae-ft-mse
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- https://huggingface.co/stabilityai/sd-vae-ft-mse-original
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There are many other models available and specialized variations for anime, TV shows, and all sorts of other styles. You
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can [add your own models](#adding-your-own-models) from many sources, including [the HuggingFace hub
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](#downloading-models-from-huggingface) and [Civitai](#downloading-models-from-civitai).
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## Prompts
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@ -435,7 +258,8 @@ or omit them entirely.
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The range syntax currently does not work when the Long Prompt Weighting pipeline is enabled.
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Some Textual Inversions have their own token, especially ones trained using [the Stable Conceptualizer notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb)
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Some Textual Inversions have their own token, especially ones trained using [the Stable Conceptualizer notebook
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](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb)
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and [the sd-concepts-library](https://huggingface.co/spaces/sd-concepts-library/stable-diffusion-conceptualizer) on
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HuggingFace hub. The model card should list the token, which will usually be wrapped in `<angle-brackets>`. This token
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will be available along with the name token, but these concepts only have a single layer, so the numbered tokens are
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@ -695,6 +519,290 @@ Changing the API server will reload the client.
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Resets the state of each tab to the default, if some controls become glitchy.
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## Adding your own models
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You can convert and use your own models without making any code changes. Models are stored in
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[the `api/extras.json` file](../api/extras.json) - you can make a copy to avoid any updates replacing your models in
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the future. Add an entry for each of the models that you would like to use:
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```json
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{
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"diffusion": [
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{
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"name": "diffusion-knollingcase",
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"source": "Aybeeceedee/knollingcase"
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},
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{
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"name": "diffusion-openjourney",
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"source": "prompthero/openjourney"
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},
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{
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"name": "diffusion-stablydiffused-aesthetic-v2-6",
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"source": "civitai://6266?type=Pruned%20Model&format=SafeTensor",
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"format": "safetensors"
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},
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{
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"name": "diffusion-unstable-ink-dream-onnx-v6",
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"source": "civitai://5796",
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"format": "safetensors"
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}
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],
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"correction": [],
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"upscaling": [
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{
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"name": "upscaling-real-esrgan-x4-anime",
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"source": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
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"scale": 4
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}
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],
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"networks": [
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{
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"name": "cubex",
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"source": "sd-concepts-library/cubex",
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"format": "ckpt",
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"label": "Cubex",
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"type": "inversion"
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},
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{
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"name": "minecraft",
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"source": "sd-concepts-library/minecraft-concept-art",
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"format": "ckpt",
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"label": "Minecraft Concept",
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"type": "inversion"
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},
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],
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"sources": [
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{
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"name": "vae-ft-mse-840000-ema-pruned",
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"source": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors",
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"format": "safetensors"
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}
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]
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}
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```
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The complete file format and available keys are listed in [the file format section](#extras-file-format). If you are
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familiar with JSON schemas, [the extras schema](../api/schemas/extras.yaml) is the canonical format.
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Models can be added using the directory format used by `diffusers` as well as safetensor and pickle tensor checkpoints.
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See [the converting models guide](converting-models.md) for more details.
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|
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Be careful loading pickle tensors, as they may contain unsafe code which will be executed on your machine. Use
|
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safetensors instead whenever possible.
|
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|
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Set the `ONNX_WEB_EXTRA_MODELS` environment variable to the path to your file and make sure to use the `launch-extras`
|
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script. For example:
|
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|
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```shell
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# on Linux:
|
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> export ONNX_WEB_EXTRA_MODELS=~/onnx-web-extras.json
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> ./launch-extras.sh
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|
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# on Windows:
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> set ONNX_WEB_EXTRA_MODELS=C:\Users\ssube\onnx-web-extras.json
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> launch-extras.bat
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```
|
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|
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Extras using the older file format with nested arrays (`"diffusion": [[]]`) can be mixed with the newer format. You
|
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only need to convert them into the newer format if you need to use keys other than `name`, `source`, and `scale`.
|
||||
|
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### Model names
|
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|
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The `name` of each model dictates which category it will appear in on the client.
|
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|
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- `diffusion-*` or `stable-diffusion-*` for diffusion models
|
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- `upscaling-*` for upscaling models
|
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- `correction-*` for correction models
|
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|
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Models that do not match one of the prefixes will not be shown, so if you cannot find a model that you have converted,
|
||||
make sure it is named correctly. This applies to models in the `extras.json` file as well as models you have created,
|
||||
converted, or copied outside of the conversion script.
|
||||
|
||||
### Model sources
|
||||
|
||||
You can either provide the path to a local model that you have already downloaded or provide a URL to be
|
||||
automatically downloaded, using HTTPS or one of the pre-defined sources:
|
||||
|
||||
- `huggingface://`
|
||||
- https://huggingface.co/models?other=stable-diffusion
|
||||
- mostly SFW
|
||||
- requires an account to download some models
|
||||
- `civitai://`
|
||||
- https://civitai.com/
|
||||
- some NSFW
|
||||
- does not require an account
|
||||
- `https://`
|
||||
- any other HTTPS source
|
||||
- `../models/.cache/your-model.safetensors`
|
||||
- relative paths
|
||||
- `/home/ssube/onnx-web/models/.cache` or `C:\Users\ssube\onnx-web\models\.cache`
|
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- absolute paths
|
||||
|
||||
If the model is a single file and the `source` does not include a file extension like `.safetensors` or `.ckpt`, make
|
||||
sure to indicate the file format using the `format` key. You do not need to provide the `format` for directories and
|
||||
models from the HuggingFace hub.
|
||||
|
||||
#### Downloading models from Civitai
|
||||
|
||||
Use the `civitai://` protocol to download models from [the Civitai catalog](https://civitai.com/).
|
||||
|
||||
When downloading models from Civitai, the ID shown in the browser URL bar _may not be_ the ID of the model itself.
|
||||
Since models can have multiple versions, make sure you use the correct ID. Use the model ID from the download link,
|
||||
which you can see and copy from the right-click menu:
|
||||
|
||||
![Chrome context menu with Copy link address highlighted](guide-civitai.png)
|
||||
|
||||
You can use the `Pruned SafeTensor`, if one is available. Be careful downloading pickle tensors, they may contain unsafe
|
||||
code. The original, non-pruned models are much larger but are better for training.
|
||||
|
||||
#### Downloading models from HuggingFace
|
||||
|
||||
Use the `huggingface://` protocol to download models from [the HuggingFace hub](https://huggingface.co/models?other=stable-diffusion).
|
||||
Most models will detect and download all of the necessary files, while Textual Inversions with `"model": "concept"`
|
||||
will only download the `trained_embeds.bin` file.
|
||||
|
||||
When downloading models from HuggingFace, you can use the copy button next to the repository name:
|
||||
|
||||
![Stable Diffusion v1.5 model card with Copy model name option highlighted](guide-huggingface.png)
|
||||
|
||||
### Using a custom VAE
|
||||
|
||||
You can use a custom VAE when converting models. Some models require a specific VAE, so if you get weird results,
|
||||
check the model card for a specific VAE. This works for both diffusers directories and original SD checkpoints. You
|
||||
can use the `sources` field in the extras file to download the VAE file or provide a HuggingFace model name.
|
||||
|
||||
```json
|
||||
{
|
||||
"diffusion": [
|
||||
{
|
||||
"name": "diffusion-stablydiffused-aesthetic-v2-6-ema",
|
||||
"source": "civitai://6266?type=Pruned%20Model&format=SafeTensor",
|
||||
"format": "safetensors",
|
||||
"vae": ".cache/vae-ft-mse-840000-ema-pruned.safetensors"
|
||||
},
|
||||
{
|
||||
"name": "stable-diffusion-onnx-v1-4",
|
||||
"source": "CompVis/stable-diffusion-v1-4",
|
||||
"vae": "stabilityai/sd-vae-ft-ema"
|
||||
}
|
||||
],
|
||||
"correction": [],
|
||||
"upscaling": [],
|
||||
"sources": [
|
||||
{
|
||||
"name": "vae-ft-mse-840000-ema-pruned",
|
||||
"source": "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors",
|
||||
"format": "safetensors"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
Some common VAE models include:
|
||||
|
||||
- https://huggingface.co/stabilityai/sd-vae-ft-ema
|
||||
- https://huggingface.co/stabilityai/sd-vae-ft-ema-original
|
||||
- https://huggingface.co/stabilityai/sd-vae-ft-mse
|
||||
- https://huggingface.co/stabilityai/sd-vae-ft-mse-original
|
||||
|
||||
### Permanently blending additional networks
|
||||
|
||||
TODO
|
||||
|
||||
### Extras file format
|
||||
|
||||
- diffusion
|
||||
- array of diffusion models
|
||||
- each one has:
|
||||
- format
|
||||
- one of:
|
||||
- bin
|
||||
- ckpt
|
||||
- onnx
|
||||
- pt
|
||||
- pth
|
||||
- safetensors
|
||||
- label
|
||||
- string
|
||||
- name
|
||||
- string
|
||||
- source
|
||||
- string
|
||||
- config
|
||||
- string
|
||||
- vae
|
||||
- string
|
||||
- inversions
|
||||
- array of inversion networks
|
||||
- permanently blended with the base model
|
||||
- each one has:
|
||||
- name
|
||||
- source
|
||||
- format
|
||||
- label
|
||||
- token
|
||||
- weight
|
||||
- loras
|
||||
- array of lora networks
|
||||
- permanently blended with the base model
|
||||
- each one has:
|
||||
- name
|
||||
- source
|
||||
- label
|
||||
- weight
|
||||
- correction
|
||||
- array of correction models
|
||||
- each one has:
|
||||
- format
|
||||
- same formats as diffusion models
|
||||
- label
|
||||
- string
|
||||
- name
|
||||
- string
|
||||
- source
|
||||
- string
|
||||
- upscaling
|
||||
- array of upscaling models
|
||||
- each one has:
|
||||
- format
|
||||
- same formats as diffusion models
|
||||
- label
|
||||
- string
|
||||
- name
|
||||
- string
|
||||
- source
|
||||
- string
|
||||
- scale
|
||||
- number
|
||||
- networks
|
||||
- array of additional networks
|
||||
- each one has:
|
||||
- format
|
||||
- one of:
|
||||
- ckpt
|
||||
- safetensors
|
||||
- model
|
||||
- one of:
|
||||
- concept
|
||||
- embeddings
|
||||
- cloneofsimo
|
||||
- sd-scripts
|
||||
- name
|
||||
- source
|
||||
- type
|
||||
- one of:
|
||||
- inversion
|
||||
- lora
|
||||
- sources
|
||||
- array of additional sources to fetch
|
||||
- each one has:
|
||||
- format
|
||||
- name
|
||||
- source
|
||||
- array of sources
|
||||
- strings
|
||||
- additional translation strings
|
||||
|
||||
## Known errors
|
||||
|
||||
This section attempts to cover all of the known errors and their solutions.
|
||||
|
@ -737,7 +845,7 @@ To run the `check-env.py` script using your `onnx-web` virtual environment:
|
|||
#### Check model script
|
||||
|
||||
The `check-model.py` script will check the format and contents of a model file. The models can be ONNX models,
|
||||
Safetensors, or pickle tensors.
|
||||
safetensors, pickle tensors, protocol buffers, or binary files.
|
||||
|
||||
The script will attempt to load the file, which can import libraries and execute code in the case of pickle tensors.
|
||||
Only run the script on files that you trust enough to load.
|
||||
|
|
Loading…
Reference in New Issue