--- search: exclude: true --- # stablediffusion2 Setup ![](0.png) ## **Initial Setup** In this tutorial we're going to install stablediffusion, and use a rtx 3070 TI to make it work. [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion] → sudo pacman -S python-pip warning: python-pip-23.2.1-1 is up to date -- reinstalling resolving dependencies... looking for conflicting packages... Packages (1) python-pip-23.2.1-1 Total Installed Size: 20.68 MiB Net Upgrade Size: 0.00 MiB :: Proceed with installation? [Y/n] y (1/1) checking keys in keyring [########################################################################################] 100% (1/1) checking package integrity [########################################################################################] 100% (1/1) loading package files [########################################################################################] 100% (1/1) checking for file conflicts [########################################################################################] 100% (1/1) checking available disk space [########################################################################################] 100% :: Processing package changes... (1/1) reinstalling python-pip [########################################################################################] 100% :: Running post-transaction hooks... (1/1) Arming ConditionNeedsUpdate... [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion] → pip3 --version pip 23.2.1 from /usr/lib/python3.11/site-packages/pip (python 3.11) Then go [here](https://github.com/easydiffusion/easydiffusion#installation) and unpack it to run the start.sh script: ![](1.png) [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~] → mkdir easydiffusion [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~] → cd easydiffusion [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion] → mv ../Downloads/Easy-Diffusion-Linux.zip . [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion] → unzip Easy-Diffusion-Linux.zip Archive: Easy-Diffusion-Linux.zip creating: easy-diffusion/ inflating: easy-diffusion/CreativeML Open RAIL-M License inflating: easy-diffusion/start.sh inflating: easy-diffusion/LICENSE inflating: easy-diffusion/How to install and run.txt creating: easy-diffusion/scripts/ inflating: easy-diffusion/scripts/install_status.txt inflating: easy-diffusion/scripts/functions.sh inflating: easy-diffusion/scripts/bootstrap.sh inflating: easy-diffusion/scripts/on_env_start.sh [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion] → cd easy-diffusion [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion/easy-diffusion] → ls 'CreativeML Open RAIL-M License' 'How to install and run.txt' LICENSE scripts start.sh [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion/easy-diffusion] → ./start.sh Run the script and wait for it to finish: [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion/easy-diffusion] → ./start.sh /usr/bin/curl /usr/bin/tar /usr/bin/bzip2 Downloading micromamba from https://micro.mamba.pm/api/micromamba/linux-64/latest to /home/nothing/easydiffusion/easy-diffusion/installer_files/mamba/micromamba % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 100 4219 0 4219 0 0 4823 0 --:--:-- --:--:-- --:--:-- 6297 0 0 0 0 0 0 0 0 --:--:-- 0:00:01 --:--:-- 0bin/micromamba 100 5076k 100 5076k 0 0 812k 0 0:00:06 0:00:06 --:--:-- 1122k Micromamba version: 1.4.9 Empty environment created at prefix: /home/nothing/easydiffusion/easy-diffusion/installer_files/env Packages to install: conda python=3.8.5 conda-forge/noarch 11.8MB @ 4.4MB/s 2.8s conda-forge/linux-64 29.4MB @ 2.5MB/s 12.0s Transaction Prefix: /home/nothing/easydiffusion/easy-diffusion/installer_files/env Updating specs: - conda - python=3.8.5 Package Version Build Channel Size ─────────────────────────────────────────────────────────────────────────────────── Install: ─────────────────────────────────────────────────────────────────────────────────── + python_abi 3.8 3_cp38 conda-forge 6kB + ld_impl_linux-64 2.40 h41732ed_0 conda-forge 705kB + _libgcc_mutex 0.1 conda_forge conda-forge 3kB + libstdcxx-ng 13.1.0 hfd8a6a1_0 conda-forge 4MB + ca-certificates 2023.7.22 hbcca054_0 conda-forge 150kB + libgomp 13.1.0 he5830b7_0 conda-forge 419kB + _openmp_mutex 4.5 2_gnu conda-forge 24kB + libgcc-ng 13.1.0 he5830b7_0 conda-forge 776kB + ncurses 6.4 hcb278e6_0 conda-forge 881kB + libzlib 1.2.13 hd590300_5 conda-forge 62kB + xz 5.2.6 h166bdaf_0 conda-forge 418kB + openssl 1.1.1u hd590300_0 conda-forge 2MB + libffi 3.2.1 he1b5a44_1007 conda-forge 48kB + readline 8.2 h8228510_1 conda-forge 281kB + zstd 1.5.2 hfc55251_7 conda-forge 431kB + zlib 1.2.13 hd590300_5 conda-forge 93kB + tk 8.6.12 h27826a3_0 conda-forge 3MB + libsqlite 3.42.0 h2797004_0 conda-forge 829kB + sqlite 3.42.0 h2c6b66d_0 conda-forge 818kB + python 3.8.5 h1103e12_9_cpython conda-forge 23MB + wheel 0.41.0 pyhd8ed1ab_0 conda-forge 57kB + setuptools 68.0.0 pyhd8ed1ab_0 conda-forge 464kB + pip 23.2.1 pyhd8ed1ab_0 conda-forge 1MB + pysocks 1.7.1 pyha2e5f31_6 conda-forge 19kB + pycparser 2.21 pyhd8ed1ab_0 conda-forge 103kB + charset-normalizer 3.2.0 pyhd8ed1ab_0 conda-forge 46kB + idna 3.4 pyhd8ed1ab_0 conda-forge 57kB + certifi 2023.7.22 pyhd8ed1ab_0 conda-forge 154kB + colorama 0.4.6 pyhd8ed1ab_0 conda-forge 25kB + packaging 23.1 pyhd8ed1ab_0 conda-forge 46kB + toolz 0.12.0 pyhd8ed1ab_0 conda-forge 49kB + pluggy 1.2.0 pyhd8ed1ab_0 conda-forge 22kB + jsonpointer 2.0 py_0 conda-forge 9kB + boltons 23.0.0 pyhd8ed1ab_0 conda-forge 303kB + tqdm 4.65.0 pyhd8ed1ab_1 conda-forge 88kB + jsonpatch 1.32 pyhd8ed1ab_0 conda-forge 15kB + brotli-python 1.0.9 py38hfa26641_9 conda-forge 327kB + ruamel.yaml.clib 0.2.7 py38h1de0b5d_1 conda-forge 146kB + pycosat 0.6.4 py38h0a891b7_1 conda-forge 111kB + cffi 1.14.4 py38ha312104_0 conda-forge 231kB + ruamel.yaml 0.17.32 py38h01eb140_0 conda-forge 200kB + zstandard 0.19.0 py38ha98ab4e_2 conda-forge 394kB + cryptography 39.0.0 py38h1724139_0 conda-forge 1MB + urllib3 2.0.4 pyhd8ed1ab_0 conda-forge 98kB + conda-package-streaming 0.8.0 pyhd8ed1ab_0 conda-forge 19kB + pyopenssl 23.2.0 pyhd8ed1ab_1 conda-forge 129kB + requests 2.31.0 pyhd8ed1ab_0 conda-forge 57kB + conda-package-handling 2.0.2 pyh38be061_0 conda-forge 253kB + conda 23.7.2 py38h578d9bd_0 conda-forge 1MB Summary: Install: 49 packages Total download: 45MB ─────────────────────────────────────────────────────────────────────────────────── Transaction starting _libgcc_mutex 2.6kB @ 23.1kB/s 0.1s ca-certificates 149.5kB @ 1.0MB/s 0.1s python_abi 5.7kB @ 33.6kB/s 0.2s libzlib 61.6kB @ 352.9kB/s 0.1s readline 281.5kB @ 997.0kB/s 0.1s libstdcxx-ng 3.8MB @ 1.3MB/s 2.9s charset-normalizer 45.7kB @ 15.5kB/s 0.1s colorama 25.2kB @ 8.2kB/s 0.1s pluggy 21.5kB @ 6.8kB/s 0.1s tqdm 88.2kB @ 26.7kB/s 0.1s ruamel.yaml.clib 146.4kB @ 41.1kB/s 0.3s ruamel.yaml 200.2kB @ 51.0kB/s 0.4s urllib3 98.4kB @ 24.2kB/s 0.1s requests 56.7kB @ 13.6kB/s 0.1s libgomp 419.2kB @ 92.8kB/s 0.3s ncurses 881.0kB @ 162.1kB/s 0.9s libffi 48.0kB @ 8.7kB/s 0.1s libsqlite 828.9kB @ 133.0kB/s 0.7s setuptools 463.7kB @ 70.2kB/s 0.4s idna 56.7kB @ 8.5kB/s 0.1s toolz 49.1kB @ 7.2kB/s 0.1s jsonpatch 14.6kB @ 2.1kB/s 0.1s cffi 231.2kB @ 31.6kB/s 0.4s conda-package-streaming 18.8kB @ 2.5kB/s 0.1s conda 1.0MB @ 124.7kB/s 0.8s xz 418.4kB @ 49.3kB/s 0.3s zlib 92.8kB @ 10.8kB/s 0.1s python 23.0MB @ 2.7MB/s 8.4s packaging 46.1kB @ 5.3kB/s 0.1s pysocks 19.0kB @ 2.2kB/s 0.1s brotli-python 326.8kB @ 36.8kB/s 0.2s pip 1.4MB @ 155.3kB/s 8.6s _openmp_mutex 23.6kB @ 2.6kB/s 0.1s pycparser 102.7kB @ 11.4kB/s 0.1s boltons 302.8kB @ 32.2kB/s 0.4s pyopenssl 129.0kB @ 13.6kB/s 0.1s cryptography 1.4MB @ 146.9kB/s 1.1s certifi 153.8kB @ 15.5kB/s 0.2s openssl 2.0MB @ 187.9kB/s 0.9s zstandard 393.5kB @ 37.8kB/s 0.5s zstd 431.1kB @ 41.3kB/s 1.5s wheel 57.4kB @ 5.4kB/s 0.1s ld_impl_linux-64 704.7kB @ 66.6kB/s 10.6s sqlite 818.2kB @ 76.8kB/s 0.3s pycosat 110.6kB @ 10.4kB/s 0.2s jsonpointer 8.7kB @ 817.0 B/s 0.1s conda-package-handling 253.2kB @ 23.5kB/s 0.1s libgcc-ng 776.3kB @ 70.9kB/s 0.4s tk 3.5MB @ 275.8kB/s 12.4s Linking python_abi-3.8-3_cp38 Linking ld_impl_linux-64-2.40-h41732ed_0 Linking _libgcc_mutex-0.1-conda_forge Linking libstdcxx-ng-13.1.0-hfd8a6a1_0 Linking ca-certificates-2023.7.22-hbcca054_0 Linking libgomp-13.1.0-he5830b7_0 Linking _openmp_mutex-4.5-2_gnu Linking libgcc-ng-13.1.0-he5830b7_0 Linking ncurses-6.4-hcb278e6_0 Linking libzlib-1.2.13-hd590300_5 Linking xz-5.2.6-h166bdaf_0 Linking openssl-1.1.1u-hd590300_0 Linking libffi-3.2.1-he1b5a44_1007 Linking readline-8.2-h8228510_1 Linking zstd-1.5.2-hfc55251_7 Linking zlib-1.2.13-hd590300_5 Linking tk-8.6.12-h27826a3_0 Linking libsqlite-3.42.0-h2797004_0 Linking sqlite-3.42.0-h2c6b66d_0 Linking python-3.8.5-h1103e12_9_cpython Linking wheel-0.41.0-pyhd8ed1ab_0 Linking setuptools-68.0.0-pyhd8ed1ab_0 Linking pip-23.2.1-pyhd8ed1ab_0 Linking pysocks-1.7.1-pyha2e5f31_6 Linking pycparser-2.21-pyhd8ed1ab_0 Linking charset-normalizer-3.2.0-pyhd8ed1ab_0 Linking idna-3.4-pyhd8ed1ab_0 Linking certifi-2023.7.22-pyhd8ed1ab_0 Linking colorama-0.4.6-pyhd8ed1ab_0 Linking packaging-23.1-pyhd8ed1ab_0 Linking toolz-0.12.0-pyhd8ed1ab_0 Linking pluggy-1.2.0-pyhd8ed1ab_0 Linking jsonpointer-2.0-py_0 Linking boltons-23.0.0-pyhd8ed1ab_0 Linking tqdm-4.65.0-pyhd8ed1ab_1 Linking jsonpatch-1.32-pyhd8ed1ab_0 Linking brotli-python-1.0.9-py38hfa26641_9 Linking ruamel.yaml.clib-0.2.7-py38h1de0b5d_1 Linking pycosat-0.6.4-py38h0a891b7_1 Linking cffi-1.14.4-py38ha312104_0 Linking ruamel.yaml-0.17.32-py38h01eb140_0 Linking zstandard-0.19.0-py38ha98ab4e_2 Linking cryptography-39.0.0-py38h1724139_0 Linking urllib3-2.0.4-pyhd8ed1ab_0 Linking conda-package-streaming-0.8.0-pyhd8ed1ab_0 Linking pyopenssl-23.2.0-pyhd8ed1ab_1 Linking requests-2.31.0-pyhd8ed1ab_0 Linking conda-package-handling-2.0.2-pyh38be061_0 Linking conda-23.7.2-py38h578d9bd_0 Transaction finished To activate this environment, use: micromamba activate /home/nothing/easydiffusion/easy-diffusion/installer_files/env Or to execute a single command in this environment, use: micromamba run -p /home/nothing/easydiffusion/easy-diffusion/installer_files/env mycommand /usr/bin/git git version 2.41.0 /home/nothing/easydiffusion/easy-diffusion/installer_files/env/bin/conda conda 23.7.2 Easy Diffusion Downloading Easy Diffusion.. Using the main channel Cloning into 'sd-ui-files'... remote: Enumerating objects: 18042, done. remote: Counting objects: 100% (6033/6033), done. remote: Compressing objects: 100% (591/591), done. remote: Total 18042 (delta 5609), reused 5725 (delta 5437), pack-reused 12009 Receiving objects: 100% (18042/18042), 58.02 MiB | 5.09 MiB/s, done. Resolving deltas: 100% (12317/12317), done. > python -m pip install --upgrade torch==2.0.0 Collecting torch==2.0.0 Downloading torch-2.0.0-cp38-cp38-manylinux1_x86_64.whl (619.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 534.9/619.9 MB 3.3 MB/s eta 0:00:27 [...] ![](3.png) ![](2.png) ![](4.png) ![](5.png) Now that stablediffusion is ready let's try to generate an image: ![](6.png) ![](7.png) Now like this we managed to generate a 512x512 image. But let's try to generate a 4k resolution image, but as you can see we can't just set the setting like that, we need to use the upscaler below: ![](8.png) the default 4k resolution is 3840 by 2160 pixels. So to create a 4k image we can use the image size 960 by 576 pixels, which will render as a 4k image thanks to the RealESRGAN_x4plus: ![](9.png) Now that we know it works let's try another model like [Openjourney](https://huggingface.co/prompthero/openjourney/blob/main/mdjrny-v4.ckpt): [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → ls -lash total 36K 4.0K drwxr-xr-x 9 nothing nothing 4.0K Jul 30 15:11 . 4.0K drwxrwxr-x 9 nothing nothing 4.0K Jul 30 15:32 .. 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:11 codeformer 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:28 gfpgan 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:11 hypernetwork 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:11 lora 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:30 realesrgan 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:11 stable-diffusion 4.0K drwxr-xr-x 2 nothing nothing 4.0K Jul 30 15:30 vae [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd stable-diffusion [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → ls 'Place your stable-diffusion model files here.txt' sd-v1-4.ckpt [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → mv ~/Downloads/mdjrny-v4.ckpt . [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → ls mdjrny-v4.ckpt 'Place your stable-diffusion model files here.txt' sd-v1-4.ckpt Then use it like so: ![](10.png) Next we're going to finetune it as much as possible to copy midjourney: ![](11.png) Then restart easydiffusion: 17:19:46.019 INFO cuda:0 Session 1690723929701 task 140438942630336 completed by NVIDIA GeForce RTX 3070 Ti. task_manager.py:367 ^CPress any key to continue [ 10.0.2.2/24 ] [ /dev/pts/28 ] [~/easydiffusion/easy-diffusion] → ./start.sh ![](12.png) Restart it gain in the same manner (ctrl+C and run start.sh again) ![](13.png) ![](14.png) Next we want to add the [baddream negative embedding model](https://civitai.com/models/72437/baddream-unrealisticdream-negative-embeddings): [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → cd .. [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → ls codeformer embeddings gfpgan hypernetwork lora realesrgan stable-diffusion vae [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd embeddings [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → ls [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → mv ~/Downloads/BadDream.pt . [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → ls BadDream.pt [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → (then restart easydiffusion like before) Next we will add a [midjourney lora](https://civitai.com/models/22811): [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → cd .. [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → ls codeformer embeddings gfpgan hypernetwork lora realesrgan stable-diffusion vae [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd lora [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/lora] → ls 'Place your lora model files here.txt' [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/lora] → mv ~/Downloads/mj_style_1-000010.safetensors . Next we will add a [midjourney syle embedding](https://civitai.com/models/3093/midjourney-general-style): [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd embeddings [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → ls BadDream.pt [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → mv ~/Downloads/mj-gs.pt . Next restart easydiffusion and embed the style and the lora and the baddream negative embedding: ![](15.png) also trying another openjourney model may yield better results like this [one](https://huggingface.co/prompthero-diffusion-models/openjourney-v4/blob/main/openjourney-v4.ckpt): For the highest rated negative embeddings you can go [here](https://civitai.com/tag/negative%20embedding?sort=Most+Liked) For the highest rated negative embeddings you can go [here](https://civitai.com/tag/negative%20embedding?sort=Most+Liked) let's try this one: [](https://civitai.com/models/27259/tmnd-mix) [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → ls mdjrny-v4.ckpt 'Place your stable-diffusion model files here.txt' sd-v1-4.ckpt [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → cat Place\ your\ stable-diffusion\ model\ files\ here.txt Supported extensions: .ckpt or .safetensors% [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/stable-diffusion] → mv ~/Downloads/tmndMix_tmndMixVIPruned.safetensors . Then to make use of the prompts we need a few negative prompt embeddings: badhandv4, EasyNegative, verybadimagenegative_v1.3, (worst quality:2), (low quality:2), (normal quality:2) Which we can download: https://civitai.com/models/16993 https://civitai.com/models/7808 https://civitai.com/models/11772 [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → mv ~/Downloads/easynegative.safetensors . [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → mv ~/Downloads/verybadimagenegative_v1.3.pt . [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/embeddings] → mv ~/Downloads/badhandv4.pt . https://civitai.com/models/116225 [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd realesrgan [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/realesrgan] → ls 'Place your realesrgan model files here.txt' RealESRGAN_x4plus.pth [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/realesrgan] → mv ~/Downloads/4xUltrasharp_4xUltrasharpV10.pt . [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/realesrgan] → cat Place\ your\ realesrgan\ model\ files\ here.txt Supported extensions: .pth% [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/realesrgan] → mv 4xUltrasharp_4xUltrasharpV10.pt 4xUltrasharp_4xUltrasharpV10.pth You'll need to play with models, lora models, negative prompts and image settings until you find the best ways to make art. you can also use chatgpt to give you prompts to try out: ![](16.png) ![](17.png) Here's some very satisfying settings you can try out: ![](18.png) ![](19.png) Next, to be able to use plugins you can get the plugins manager made by Patrice AC [here](https://github.com/patriceac/Easy-Diffusion-Plugins): [ 10.0.2.2/24 ] [ /dev/pts/25 ] [easydiffusion/easy-diffusion/plugins] → ls server ui [ 10.0.2.2/24 ] [ /dev/pts/25 ] [easydiffusion/easy-diffusion/plugins] → cd ui [ 10.0.2.2/24 ] [ /dev/pts/25 ] [easy-diffusion/plugins/ui] → ls [ 10.0.2.2/24 ] [ /dev/pts/25 ] [easy-diffusion/plugins/ui] → wget https://raw.githubusercontent.com/patriceac/Easy-Diffusion-Plugins/main/plugin-manager.plugin.js --2023-07-31 17:57:30-- https://raw.githubusercontent.com/patriceac/Easy-Diffusion-Plugins/main/plugin-manager.plugin.js Loaded CA certificate '/etc/ssl/certs/ca-certificates.crt' Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 54639 (53K) [text/plain] Saving to: ‘plugin-manager.plugin.js’ plugin-manager.plugin.js 100%[==========================================================================================================================================>] 53.36K --.-KB/s in 0.05s 2023-07-31 17:57:30 (1.03 MB/s) - ‘plugin-manager.plugin.js’ saved [54639/54639] Then just refresh the easydiffusion page to see the plugins appear: ![](20.png) Other example of satisfying settings: ![](21.png) seeing the horizon, view from above, upper body, nun arya stark hooded in the distance, dressed in black robes, overshadowed face, eyes closed, blissful facial expression, in a disorganised, dense dark field of taller large purple datura flowers, dense lush datura vegetation, upward faced opened flowers, toxic dark fumes, in darkness, thick black fog, toxic purple smoke, darkness, high contrast, dark ambiance, heavy black rain, flatlands, Anime++ Seed: 2069005629, Dimensions: 1024x512, Sampler: dpmpp_sde, Inference Steps: 50, Guidance Scale: 7.5, Model: aZovyaRPGArtistTools_v3, Negative Prompt: deformed,missing limbs,amputated,pants,shorts,cat ears,bad anatomy, disfigured, poorly drawn face, mutation, mutated,ugly, disgusting, blurry, watermark, watermarked, over saturated, obese, doubled face,b&w;, black and white, sepia, no masks,duplicate image, blur, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), low res, normal quality, monochrome, grayscale, bad anatomy,(fat:1.2),facing away, looking away,tilted head,low res,bad anatomy,bad hands, text, error, missing fingers,extra digit, fewer digits, cropped,jpeg artifacts,signature, watermark, username,blurry,bad feet,cropped,worst quality,low quality,normal quality,jpeg, moon, stars, lighting, sunlight, sun, day, daylight, aligned field, straight lines, road, dirtroad, river, ocean, island, spotlights, lasers, mountains, floor, Upscale: RealESRGAN_x4plus (4x), Lora Model: add_detail, Lora Strength: 1