👉 Learn how to run stable diffusion on any computer, including custom models.
🖥️ Use the run diffusion website to set up and add custom models.
💰 Pay per minute based on computer usage for image processing.
💰 There are different pricing options for using RunDiffusion, with the basic option being the most cost-effective.
🔧 You can customize your model in RunDiffusion and upload it, but this may not be necessary for everyone.
⏰ When running a session in RunDiffusion, you are only charged for the actual minutes used, and sessions automatically close after a certain period of inactivity.
📝 There are various tools available on the RunDiffusion platform, including prompt customization and access to other Cool Tools.
💡 To access custom models in RunDiffusion, you need to join the Creators Club, which costs $36 per month.
✨ Currently, there are 59 different models to choose from on RunDiffusion, but uploading new models is not yet possible.
🔑 Use the promo code for a $15 discount on the platform, lowering the price to $30.59.
💡 Learn about a special offer to create AI-generated blog posts quickly and easily.
⚙️ To access custom storage and transfer models, relaunch the server and use the file browser.
🔒 To upload custom models, log in with a generic username and password and enter a specific phrase followed by the Google Drive link.
🔄 After entering the link, RunDiffusion will transfer the model, and users can refresh the page to find the uploaded file.
📂 To add more models, users can drag them into the models folder, specifically into the version 1 folder.
📸 You can create custom images using RunDiffusion by providing a prompt and a model name.
⚙️ To add a standard model from Hugging Face, use the command 'wget -b' followed by the URL of the model download link.
⏩ RunDiffusion can transfer a 5 gigabyte file in about four minutes, making the process faster.
📁 Move the downloaded stable diffusion model into the correct folder.
🔄 Refresh and gain access to the new stable diffusion model.
🎥 Watch a video on creating a custom model and saving it to Google Drive.
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