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Introduction:
Stablematic provides one-click access to run Stable Diffusion on the web using high-performance GPUs. It offers a user-friendly interface for executing Stable Diffusion and other machine learning models without requiring manual setup. Users can access thousands of community-contributed models and extensions for AI art generation, text-to-video creation, image-to-image transformations, model merging, and model training. Stablematic delivers a dedicated GPU instance with transparent runtime pricing, ensuring no queues or cold-start delays.
Stablematic Product Information
What is Stablematic?
Stablematic is a platform that provides one-click access to run Stable Diffusion on the web using the latest GPUs. It offers a user-friendly web interface for running Stable Diffusion and other machine learning models without requiring any setup. Users can access thousands of user-contributed models and extensions for AI art creation, generate videos from text prompts, perform image-to-image transformations, merge multiple models, and train image models. Stablematic aims to provide a dedicated GPU playground instance with transparent runtime pricing, eliminating queues and coldstart problems.
How to use Stablematic?
Sign in to Stablematic, select a Stable Diffusion model or upload your own, and begin creating content using text prompts, images, or other available tools. The platform handles all setup and GPU allocation automatically.
Stablematic's Core Features
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One-click Stable Diffusion instance setup
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Access to the latest GPUs
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User-friendly web interface
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Support for various Stable Diffusion models and extensions
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Text-to-video generation
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Image-to-image transformation
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Model merging and training
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API access
Stablematic Use Cases
#1
Generating AI art from text prompts
#2
Creating videos and animations from text
#3
Training custom Stable Diffusion models
#4
Merging existing models to create new ones
#5
Integrating Stable Diffusion into art and design tools
FAQ from Stablematic
What GPUs are available and is there a wait time? +
You currently have access to RTX A5000 GPUs. Because you are assigned your own dedicated server, there are no queues or wait times.
How does the pricing work? +
Standard pricing is $1 per hour. The alpha user membership is $8 per month, which includes $10 in credits (covering 10 hours of usage). Alpha users also receive early access to new products and dedicated 1-on-1 technical support.
How many images or how much training time does the $8 subscription provide? +
The $8 subscription includes $10 in credits, providing up to 10 hours of GPU server access. During this time, you have the flexibility to generate up to 30,000 images, train custom models, merge models, or utilize other extensions within the Automatic1111 Stable Diffusion Web UI.
What happens if I run out of credits? +
If your subscription credits are exhausted, you can purchase top-ups to continue creating images or training machine learning models.
How can I access and use different Stable Diffusion models? +
We provide a range of pre-loaded models, such as Dreambooth, and support all CivitAi models directly through your dashboard. If a specific model is missing, you can request it, and we aim to make it available within 1-2 days.
How does Stablematic compare to Colab, local setups, or Hugging Face? +
Stablematic provides a dedicated server with one-click access, allowing you to run Stable Diffusion in your browser without hardware limitations or complex setup. We offer seamless integration with numerous models, eliminating the need to manage dependencies. Because you have a dedicated server, you avoid GPU resource interruptions and cold-start delays.
Can I use Stablematic with my existing art and design tools? +
Yes, we support various Stable Diffusion extensions that integrate with popular design software like Photoshop. Refer to our documentation for setup details or contact us for dedicated support in customizing specific extensions.
Stablematic Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Stablematic.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
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