Model Detail
LLaDA-Image-Turbo-FP8
—LLaDA-Image-Turbo-FP8 is an image generation model with 3.3B parameters released by inclusionAI. The model is registered under the text-to-image pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
LLaDA-Image-Turbo-FP8 ships with 3.3B parameters. Total weight footprint is approximately 6.5 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
LLaDA-Image-Turbo-FP8 is best fit for text-to-image generation and creative iteration. It is a less obvious choice for production photography pipelines that need exact reproducibility. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
LLaDA-PRM: A Bidirectional Step-Level Reasoning Evaluator
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LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents
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LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
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Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
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DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
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The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
arXiv:2601.12979v3 Announce Type: replace Abstract: The pursuit of real-time agentic interaction has driven interest in Diffusion-based Large Language Models (dLLMs) as alternatives to auto-regressive backbones, promising to break the sequential latency bottleneck. However, does such efficiency gain
