Set up theOpenAI Python librarylocally Use theimage generationcapabilities of the OpenAI API Create imagesfrom text prompts using Python Createvariationsof your generated image Convert Base64JSON responses toPNG imagefiles Most importantly, you gained practical experience with incorporating API calls to DA...
To learn more, please see the Introduction to JumpStart – Text to Image example notebook and Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart. Limitations and bias Even though Stable Diffusion has impressive performance and can generate rea...
deftest_generate_image(tmpdir):"Test thegenerate_imagefunction."dstfile = str(tmpdir.join(TEST_IMAGE))forsizein[(600,600), (300,200)]:generate_image(SRCFILE, dstfile, size,None, method='ResizeToFill') im = Image.open(dstfile)assertim.size == size 开发者ID:caelor,项目名称:sigal,代码...
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS. - ayansengupta17/GAN
Text-to-Image: Generate images from textual descriptions. Image-to-Image: Modify uploaded images based on textual prompts and selected strength settings. Installation To run this application, you will need Python and several dependencies installed. ...
开发者ID:dnxbjyj,项目名称:python-basic,代码行数:31,代码来源:santi_cloud.py 示例3: generate_image ▲点赞 3▼ # 需要导入模块: from wordcloud import WordCloud [as 别名]# 或者: from wordcloud.WordCloud importgenerate_from_frequencies[as 别名]defgenerate_image(words, image):graph = np.array(i...
KnownImageIds.GenerateMethod FieldReference Feedback DefinitionNamespace: Microsoft.VisualStudio.Imaging Assembly: Microsoft.VisualStudio.ImageCatalog.dll Package: Microsoft.VisualStudio.ImageCatalog v17.13.40008 C++/WinRT คัดลอก int GenerateMethod = 1385; Field Value Value = 1385 ...
Denoise image loop The image and text embeddings are the initial input for the U-Net model. The U-Net model then reduces the noise (denoises) in the image using the text prompt as a conditional. Using a scheduler algorithm, the output from the U-Net model is then used to compute new...
with open(imagePath,'rb') as img: result = client.describe_image_in_stream(img) print(result.captions[0].text) In the above code, key, region, and endpoint are the values which we grabbed from Azure portal in previous step. The image input is shown below. ...
from generate import OpenAIChat model = OpenAIChat(model='gpt-4-vision-preview') user_message = { 'role': 'user', 'content': [ {'text': '这个图片是哪里?'}, {'image_url': {'url': 'https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg'}}, ], } model.generat...