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Research#llm📝 BlogAnalyzed: Jan 4, 2026 05:54

Blurry Results with Bigasp Model

Published:Jan 4, 2026 05:00
1 min read
r/StableDiffusion

Analysis

The article describes a user's problem with generating images using the Bigasp model in Stable Diffusion, resulting in blurry outputs. The user is seeking help with settings or potential errors in their workflow. The provided information includes the model used (bigASP v2.5), a LoRA (Hyper-SDXL-8steps-CFG-lora.safetensors), and a VAE (sdxl_vae.safetensors). The article is a forum post from r/StableDiffusion.
Reference

“I am working on building my first workflow following gemini prompts but i only end up with very blurry results. Can anyone help with the settings or anything i did wrong?”

Permalinkr/StableDiffusion
Research#llm📝 BlogAnalyzed: Dec 29, 2025 09:13

Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive

Published:Jan 15, 2024 00:00
1 min read
Hugging Face

Analysis

This article from Hugging Face likely discusses the optimization of Stable Diffusion (SD) Turbo and SDXL Turbo models for faster inference. It probably focuses on leveraging ONNX Runtime and Olive, tools designed to improve the performance of machine learning models. The core of the article would be about how these tools are used to achieve faster image generation, potentially covering aspects like model conversion, quantization, and hardware acceleration. The target audience is likely AI researchers and developers interested in optimizing their image generation pipelines.
Reference

“The article likely includes technical details about the implementation and performance gains achieved.”

PermalinkHugging Face
AI#Image Generation👥 CommunityAnalyzed: Jan 3, 2026 06:56

Stable Diffusion: Real-time prompting with SDXL Turbo and ComfyUI running locally

Published:Nov 29, 2023 01:41
1 min read
Hacker News

Analysis

The article highlights the use of SDXL Turbo and ComfyUI for real-time prompting with Stable Diffusion locally. This suggests advancements in image generation speed and user interaction. The focus on local execution implies a desire for privacy and control over the generation process.
Reference

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PermalinkHacker News