Free
$0Free plan available.
Sink In is a Stable Diffusion AI image generator that allows users to run Stable Diffusion generation models on state-of-the-art infrastructure. It provides fast, reliable, and cost-effective APIs for building AI applications. Users can subscribe to different plans or buy credits to generate images using various deployed models.
1. Sign in to the Sink In website to receive free credits. 2. Subscribe to a plan or purchase additional credits. 3. Select a Stable Diffusion model from the available list. 4. Use the API or the website interface to generate images by entering your prompts.
Sign in to the Sink In website to receive your free credits.
You can purchase credits directly or subscribe to a monthly plan, such as Basic, Pro, or Ultimate.
Generating a 512x512 image costs $0.0015.
A variety of models are available, including AbsoluteReality, majicMIX realistic, DreamShaper, Realistic Vision V1.2, and several others.
Sink In offers three tiers: Basic at $10/month for 6,000 credits, Pro at $30/month for 18,000 credits, and Ultimate at $90/month for 60,000 credits.
Invite others using your referral link. Once a legitimate user signs up, both you and the referred user receive 50 bonus credits.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Sink In.
Compare Amazon Nova Pro and Amazon Nova Lite across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Amazon Nova Micro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Mistral Medium 3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Mistral Small 3.1 (25.03) across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus cost-efficient scale.
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