SD Negeri 1.5 Belimbing
PulseAugur coverage of SD Negeri 1.5 Belimbing — every cluster mentioning SD Negeri 1.5 Belimbing across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Text-to-image AI models show persistent gender bias, research finds
A new research paper published on arXiv reveals that text-to-image AI models, including various generations of Stable Diffusion, exhibit significant gender stereotyping across occupations. The study found that 76.4% of …
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New ToPO method enhances diffusion models with token-based preference routing
Researchers have introduced ToPO (Token-Oriented Preference Optimization), a novel method for training latent diffusion models using pairwise image preferences. Unlike previous methods that apply preferences to complete…
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GuardPaint framework enhances text-to-image model safety
Researchers have developed GuardPaint, a novel framework designed to enhance the safety of text-to-image generation models. This system intervenes directly within the diffusion process, identifying and repairing policy-…
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Stable Diffusion 1.5 images animated with Minimax tool
A user on Reddit shared a project where they animated older images generated by Stable Diffusion 1.5 using a tool called Minimax. The post includes a link to the animated result and a discussion thread for comments.
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Boogu-Image-0.1: 10B parameter model challenges larger rivals in benchmarks
A new open-source image generation model, Boogu-Image-0.1, has gained attention for its impressive performance despite its small 10B parameter size. In benchmarks, it outperformed larger models like Qwen-Image-2512 and …
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Stable Diffusion user seeks LoRa training advice for game art
A user on Reddit is seeking advice on the best Stable Diffusion model for training a LoRa to generate consistent character artwork for a game. They are encountering difficulties with prompting and are limited by their h…
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EquiSteer method reduces bias in text-to-image models without retraining
Researchers have developed EquiSteer, a novel method to reduce demographic biases in text-to-image generation models without requiring retraining. This technique operates at inference time by steering cross-attention ac…
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Cross-Space Distillation enables knowledge transfer between diffusion models
Researchers have introduced a novel technique called Cross-Space Distillation to enable knowledge transfer from advanced diffusion models to more compact student models. This method addresses the challenge where student…
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New distillation method bridges gap between large and small AI image models
Researchers have introduced a novel method called Cross-Space Distillation to transfer knowledge from large, high-capacity diffusion models to smaller, more efficient student models. This technique overcomes the limitat…
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User finds Stable Diffusion 1.5 still fun to use
The user is discussing their continued enjoyment of Stable Diffusion 1.5, a version of the AI image generation model. They find it still engaging to experiment with, suggesting it remains a relevant and fun tool despite…