实验表明,二阶 ICFG 在 Stable Diffusion 上取得了比 CFG 更好的 FID 和 CLIP Score 平衡,这暗示了条件空间的某种结构特性有助于提升性能。 然而,论文并没有直接证明条件空间的锥形结构假设,只是通过实验结果间接支持了这一假设。 Q9:这篇论文到底有什么贡献? 提出了 ICFG,为理解 CFG 提供了新的视角,并将其扩...
If I am not wrong, the CFG implementation during training and inference seems to have some inconsitency. During training, the unconditioned text-embedding is set to 0 mask_indices = [k for k in range(len(prompt)) if random.random() < 0.1] if len(mask_indices) > 0: encoder_hidden_...
1 通过设计negative prompt可以使模型注意到被忽略的instruction “shows compelling evidence that CFG emphasized the difference between c_ and c more than sampling with c alone.” 2 cfg和instruction tuning的生成结果具有相似的熵 “Our next question: how is Classifier-Free Guidance affecting the vocabulary...
🚀 Feature Add an option for models to use Classifier-Free Guidance (CFG) during inference. CFG uses a negative prompt to push inference to follow the system prompt more closely. Support for this has also been requested at huggingface/tra...
首先，ContrilNet 和 Classifier Free Guidance 都是用于控制 stable diffusion 条件生成的技术。Contril...
はじめにこの記事は、Stable DiffusionのClassifier Free Guidance(以下、CFG)の簡単な仕組みの説明記事です。対象読者Stable Diffusionで普…
We investigate the theoretical foundations of classifier-free guidance (CFG). CFG is the dominant method of conditional sampling for text-to-image diffusion models, yet unlike other aspects of diffusion, it remains on shaky theoretical footing. In this paper, we disprove common misconceptions, by ...
红色的箭头表示从“无条件”到“‘一只狗’条件”的向量,给它乘上 guidance_scale,通过调节 guidance_scale 的数值大小,我们就能控制文本条件噪声贴近文本语义的程度。 如果我们想让生成的图更遵循“一只狗”这个文本语义,就把 guidance_scale 设大一点,生成的图像会更贴近“一只狗”的文本语义,但是多样性也会降低。
一、 Classifier Guidance Diffusion 二、 Classifier-Free Guidance Diffusion 三、参考文献 一、 Classifier Guidance Diffusion 2021年OpenAI在「Diffusion Models Beat GANs on Image Synthesis」中提出Classifier Guidance,使得扩散模型能够按类生成。后来「More Control for Free! Image Synthesis with Semantic Diffusion ...