How to get uncensored a.i. images

Merry Christmas!

Most of you want to know how to make images. Merry Christmas!

Going forward I will be doing more A.I. and stock market content.

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Installing Stable Diffusion locally on your computer:

Prerequisites

Before we start, you'll need to have a few things ready: 1. Python: Make sure you have Python installed. You can download it from python.org. 2. Git: This is a version control system. You can download it from git-scm.com. 3. A Good Internet Connection: The installation process involves downloading large files.

Step-by-Step Guide

Windows

1. Install Python and Git:

2. Download and install Python from python.org.

3. Download and install Git from git-scm.com.

4. Open Command Prompt:

5. Press Win + R, type cmd, and press Enter.

6. Clone the Stable Diffusion Repository: sh git clone https://github.com/CompVis/stable-diffusion.git

7. Navigate to the Repository: sh cd stable-diffusion

8. Create a Virtual Environment: sh python -m venv venv

9. Activate the Virtual Environment: sh venv\Scripts\activate

10. Install Dependencies: sh pip install -r requirements.txt

11. Download the Model Weights:

12. You need to download the model weights from a reliable source. Save them in the models/ldm/stable-diffusion-v1/ directory.

13. Run Stable Diffusion: sh python scripts/txt2img.py --prompt "A beautiful sunset" --plms

Mac

1. Install Python and Git:

2. Open Terminal (you can find it in Applications > Utilities).

3. Install Homebrew if you don't have it: sh /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

4. Install Python and Git: sh brew install python git

5. Clone the Stable Diffusion Repository: sh git clone https://github.com/CompVis/stable-diffusion.git

6. Navigate to the Repository: sh cd stable-diffusion

7. Create a Virtual Environment: sh python3 -m venv venv

8. Activate the Virtual Environment: sh source venv/bin/activate

9. Install Dependencies: sh pip install -r requirements.txt

10. Download the Model Weights:

11. Download the model weights and save them in the models/ldm/stable-diffusion-v1/ directory.

12. Run Stable Diffusion: sh python scripts/txt2img.py --prompt "A beautiful sunset" --plms

Linux

1. Install Python and Git:

2. Open Terminal.

3. Update your package list: sh sudo apt update

4. Install Python and Git: sh sudo apt install python3 python3-venv git

5. Clone the Stable Diffusion Repository: sh git clone https://github.com/CompVis/stable-diffusion.git

6. Navigate to the Repository: sh cd stable-diffusion

7. Create a Virtual Environment: sh python3 -m venv venv

8. Activate the Virtual Environment: sh source venv/bin/activate

9. Install Dependencies: sh pip install -r requirements.txt

10. Download the Model Weights:

11. Download the model weights and save them in the models/ldm/stable-diffusion-v1/ directory.

12. Run Stable Diffusion: sh python scripts/txt2img.py --prompt "A beautiful sunset" --plms

Tips

• GPU: Stable Diffusion works best with a GPU. If you have an NVIDIA GPU, make sure to install the CUDA toolkit and cuDNN.

• Patience: The installation process can take some time, especially downloading the model weights.

• Community: If you run into issues, don't hesitate to ask for help in online communities or forums.

That's it! You should now have Stable Diffusion running locally on your computer. Enjoy creating amazing images!

If that’s too complicated just go on the internet and search for uncensored image generator

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