Bonsai Image
Bonsai Image Ternary 4B MLX 2-bit is a ternary-weight text-to-image diffusion transformer deployment for Apple Silicon. It is built as a quality-oriented Bonsai Image variant, using ternary {−1, 0, +1} transformer weights with FP16 group-wise scaling in the matrix-heavy transformer layers, including Q/K/V projections, output projections, and MLP weights. The model reduces the FLUX.2 Klein 4B transformer from 7.75 GB FP16 to a 1.21 GB Bonsai Image transformer, a 6.4× smaller footprint, while keeping visual quality and prompt fidelity close to the original model. The Apple Silicon deployment payload is 3.88 GB, including the MLX 2-bit diffusion transformer, a 4-bit Qwen3-4B text encoder, and an FP16 Flux2 VAE. After prompt encoding, the text encoder is offloaded, so the denoising loop only keeps the compact transformer and VAE resident. The model uses a 4-step FlowMatchEuler sampler with guidance 1.0 and shift 3.0, with no CFG and no negative prompts required.
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Picsart Enterprise
AI-Powered Image & Video Editing for Seamless Integration.
Enhance your visual content workflows with Picsart Creative APIs, a robust suite of AI-driven tools for developers, product owners, and entrepreneurs. Easily integrate advanced image and video processing capabilities into your projects.
What We Offer:
Programmable Image APIs: AI-powered background removal, upscaling, enhancements, filters, and effects.
GenAI APIs: Text-to-Image generation, Avatar creation, inpainting, and outpainting.
Programmable Video APIs: Edit, upscale, and optimize videos with AI.
Format Conversions: Seamlessly convert images for optimal performance.
Specialized Tools: AI effects, pattern generation, and image compression.
Accessible to Everyone:
Integrate via API or automation platforms like Zapier, Make.com, and more. Use plugins for Figma, Sketch, GIMP, and CLI tools—no coding required.
Why Picsart?
Easy setup, extensive documentation, and continuous feature updates.
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ChatGPT Images
ChatGPT Images is a newly released image generation and editing experience powered by OpenAI’s flagship image model, GPT-Image-1.5. It enables users to create images from scratch or edit existing photos with greater precision and reliability. The model makes targeted edits while preserving important details such as lighting, composition, and facial likeness. Image generation is now up to four times faster, allowing quicker iteration and creative exploration. ChatGPT Images supports a wide range of edits, including adding, removing, blending, and transforming elements. It also improves instruction following and dense text rendering within images. The experience is designed to function as a compact creative studio directly inside ChatGPT.
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Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.
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