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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User shares older Stable Diffusion 1.5 image on Reddit
A user on Reddit shared an older image they created using Stable Diffusion 1.5. The post, titled 'Found an old SD 1.5 photo I made back in the day,' was shared in the r/StableDiffusion subreddit.
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Ollama and ComfyUI GPU Sharing Strategies for Single RTX Users
This article provides practical strategies for users to run both large language models (LLMs) via Ollama and image generation models like Stable Diffusion using ComfyUI on a single RTX GPU without encountering Out-of-Me…
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Musician Creates Live Music Video with Stable Diffusion and ControlNet
A musician has created a live, audio-reactive music video using a local setup that incorporates Stable Diffusion 1.5 with LCM and depth ControlNet. The process involves filming footage, analyzing audio for real-time rea…
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AI image generation users reminisce about older models and techniques
A Reddit post on r/StableDiffusion invites users to share their experiences and memories of earlier AI image generation models and techniques. The discussion aims to document the rapid evolution of the field, highlighti…
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New one-button AI image generator PinholeAI simplifies local generation
A software engineer has developed a new, user-friendly local image generation tool called PinholeAI, built on the stable-diffusion.cpp engine. This tool aims to simplify the image generation process by eliminating compl…
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Agate-003-preview image model released with SD 1.5 performance, lower cost
A new image generation model, Agate-003-preview, has been released, boasting performance comparable to SD 1.5 with significantly fewer parameters. This efficiency is attributed to a novel planner architecture that opera…
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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…