Stable Diffusion 1.5 is one of the best text-to-image models available today. It can produce high-quality images that are realistic, diverse, and faithful to the prompts. It can also handle different styles, resolutions, and sampling methods with ease. Here are some examples of how Stable Di...
I am doing image experiments too (For example: https://huggingface.co/BlinkDL/clip-guided-binary-autoencoder) and RWKV will be able to do txt2img diffusion :) My idea: 256x256 rgb image -> 32x32x13bit latents -> apply RWKV to compute transition probability for each of the 32x32 ...
Model Alignment by SteerLM Method SteerLM 2.0: Iterative Training for Attribute-Conditioned Language Model Alignment Model Alignment by Rejection Sampling Model Alignment by Self-Play Fine-Tuning (SPIN) Fine-Tuning Stable Diffusion with DRaFT+ Constitutional AI: Harmlessness from AI Feedback NeMo Curato...
Multimodal models These models, such as CLIP, Stable Diffusion, or LLaVA, process diverse inputs (text, images, audio, etc.) within a unified embedding space, enabling versatile applications like text-to-image generation. glaive-function-calling-v2 113k Agent-FLAN 34.4k Further...
Useful techniques to characterize colloidal, lipid-rich structures include, but are not limited to, dynamic light scattering (DLS), diffusion ordered spectroscopy nuclear magnetic resonance (DOSY-NMR), asymmetrical flow field-flow fractionation (AF4), multi angle laser light scattering (MALLS), cryo-...
Chung et al., "Diffusion Posterior Sampling for General Noisy Inverse Problems", ICLR 2023 使用...
aits intransparent processes and effects, and the quality of many products that are offered online.This paper analyses the role of consumer trust as afoundation for the diffusion and acceptance of electronic 它的intransparent过程和作用和在网上提供许多产品的质量。本文分析消费者信任的角色作为a...
To minimize diffusion of miRNAs, tissue sections may be incubated with 1-ethyl-3-[3-dimethylaminopropyl] carbodiimide (EDC) during or post-fixation [79], [87]. A longer linker region between a fluorophore-binding hapten (biotin) and a target-specific locked nucleic acid (LNA) probe has been...
I am doing image experiments too (For example: https://huggingface.co/BlinkDL/clip-guided-binary-autoencoder) and RWKV will be able to do txt2img diffusion :) My idea: 256x256 rgb image -> 32x32x13bit latents -> apply RWKV to compute transition probability for each of the 32x32 ...
I am doing image experiments too (For example: https://huggingface.co/BlinkDL/clip-guided-binary-autoencoder) and RWKV will be able to do txt2img diffusion :) My idea: 256x256 rgb image -> 32x32x13bit latents -> apply RWKV to compute transition probability for each of the 32x32 ...