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Model Library/Fireworks AI/Playground v2.5 1024
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Playground v2.5 1024

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fireworks/playground-v2-5-1024px-aesthetic

    Playground v2.5 is a diffusion-based text-to-image generative model, and a successor to Playground v2.

    Playground v2.5 1024 API Features

    Serverless

    Docs

    Immediately run model on pre-configured GPUs and pay-per-token

    On-demand Deployment

    Docs

    On-demand deployments give you dedicated GPUs for Playground v2.5 1024 using Fireworks' reliable, high-performance system with no rate limits.

    Available Serverless

    Run queries immediately, pay only for usage

    $0.00
    Per 1K Tokens

    Playground v2.5 1024 FAQs

    What is Playground v2.5 1024 and who developed it?

    Playground v2.5 1024 is a diffusion-based text-to-image generative model developed by Playground. It is a successor to Playground v2 and follows the Stable Diffusion XL (SDXL) architecture. The model is optimized for high-quality image generation at 1024x1024 resolution and supports various aspect ratios.

    What applications and use cases does Playground v2.5 1024 excel at?

    This model is designed for:

    • High-quality aesthetic image generation
    • Multi-aspect ratio support (e.g., 9:16, 1:1, 16:9)
    • Human-preferred outputs, especially for people-related and fashion images
    Does Playground v2.5 1024 support streaming responses and function-calling schemas?

    This model does not support streaming or function calling.

    Is fine-tuning supported for Playground v2.5 1024?

    No. Fireworks AI does not support fine-tuning for this model.

    What license governs commercial use of Playground v2.5 1024?

    The model is governed by the Playground v2.5 Community License, which may include commercial restrictions. Refer to the license text for details.

    Metadata

    State
    Ready
    Created on
    N/A
    Kind
    Base model
    Provider
    Fireworks AI
    Hugging Face
    playground-v2.5-1024px-aesthetic

    Specification

    Calibrated
    No
    Mixture-of-Experts
    No
    Parameters
    N/A

    Supported Functionality

    Fine-tuning
    Not supported
    Serverless
    Supported
    Serverless LoRA
    Not supported
    Context Length
    N/A
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported