--request POST 'https://stablediffusionapi.com/api/v3/text2img' \ 请求参数(Body) 以下是发送请求时需要在 Body 中携带的请求参数: 参数 类型 必填 描述 key string 是 您的API 密钥用于请求授权。 prompt string 是 文本提示,包含您想要在图像中生成的内容的描述。 negative_prompt null 是 图像中您不...
1. 引言这是我关于 StableDiffusion学习系列的第二篇文章,如果第一篇你还没有阅读,强烈推荐大家翻看前篇内容。在本文中,我们将学习构成StableDiffusion的各个基础组件,并针对每个组件的功能进行阐述。闲话少说…
基于前面说的两个技术要点,现有方法的做法可以总结为文本编码和Text Prompt数据增强两种。 文本编码 自从Stable Diffusion诞生以来,如果我们对text encoder的选择进行回顾的话,我们会发现text-to-image diffusion models最常采用的模型,一般是CLIP或T5-XXL。 其中,CLIP采用的是无监督训练范式,通过400M个图片-文本对进行...
TheStability AI Stable Diffusion XL Base 1.0model is another text-to-image stable diffusion model, but with some improvements on the back end. It takes advantage of a 3x larger U-NET backbone architecture, as well as a second text encoder. Figure 1 shows a sample of the image outputs f...
Stable Diffusion and transfer learning Stable Diffusion is a text-to-image model that enables you to create photorealistic images from just a text prompt. A diffusion model trains by learning to remove noise that was added to a real image. This de-noising process generates a...
The sum of all text weight has to be greater than zero. Hence, if you mentioned 0.6 for one word, the stable diffusion automatically fills the difference, which is 0.4 in this case, for other subjective word in your prompt. As shown in the next heading, you can also use negative weight...
to(self.device) # for convenience print(f'[INFO] loaded stable diffusion!') def get_text_embeds(self, prompt): def get_text_embeds(self, prompt, negative_prompt): # prompt, negative_prompt: [str] # Tokenize text and get embeddings text_input = self.tokenizer(prompt, padding='max_...
Pipeline，支持通过 prompt 的方式动态加载 lora、textual_inversion 权重；新增 Stable Diffusion HiresFix Pipeline，支持高分辨率修复；新增关键点控制生成任务评价指标 COCO eval；新增多种模态扩散模型 Pipelines，包括视频生成（Text-to-Video-Synth、Text-to-Video-Zero）、音频生成（AudioLDM、Spectrogram Diffusion）...
[2,视频长度之间] chunk_size = 4 # 设置 stable-diffusion-v1-5 在AI Studio中的本地路径 model_path = "/home/aistudio/stable-diffusion-v1-5/runwayml/stable-diffusion-v1-5" # 使用 Text-To-Video 模型进行文本-视频生成, 需要显存 15 G,耗时2-3分钟 model.process_text2video(prompt, model_...
Easily generate compelling prompts for text-to-image models like Stable Diffusion, Dall-E, Midjourney, Jasper Art, and more No credit card required No signup required Endless creativity Generate AI: PostCaptionText2Img PromptBlog ImageQuote Image ...