来到第三块, 你可以修改一下prompt内容 (也就是关键词填写) 再run. 如果想生成不同的图片玩儿, 使用这一块已经足够了. fromtorchimportautocast#下一行修改prompt="a photograph of an astronaut riding a horse"withautocast("cuda"):image=pipe(prompt)["sample"][0]#图片保存image.save(f"astronaut_r...
In Colab, you can modify the last line to !python entry_with_update.py --share --always-high-vram or !python entry_with_update.py --share --always-high-vram --preset anime or !python entry_with_update.py --share --always-high-vram --preset realistic for Fooocus Default/Anime/Realis...
Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation ) warnings.warn( /usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None warnings....
"Collecting antlr4-python3-runtime==4.9.* (from hydra-core<=1.3.2,>1.3->nemo-toolkit[asr]>=2.dev)\n", " Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)\n", "\u001b[2K \u001b[90m━━━\u001b[0m \u001b[32m117.0/117.0 kB\u001b[0m \u001b[31m11.0 MB/s\u...
It can be installed using Python's pip package manager following the instructions at https://github.com/sokrypton/ColabFold. It can be used as colabfold_batch input_file_or_directory output_directory, supporting FASTA, A3M and CSV files as input. Faster MSA generation with MMseqs2 Generating...
It can be used as colabfold_batch input_file_or_directory output_directory, supporting FASTA, A3M and CSV files as input. Faster MSA generation with MMseqs2. Generating MSAs for AlphaFold2 and RoseTTAFold is a time-consuming task. To improve their run time while maintaining a high prediction...
MEGADOCK can be executed with the following command: !./megadock-gpu -R $MDPDBR -L $MDPDBL -t $MDt -N $MDN -o $MDOF Please note that the arguments need to be passed from Python to the shell environment variables. For instance, we can set the values beforehand using something like...
tensorflow 一些参数错误弹出在谷歌colab与CNN模型create_tensorboard_callback("training_logs","grape_...
[WARN ] <stderr>: File "/tmp/.djl.ai/python/0.26.0/djl_python_engine.py", line 121, in run_server [WARN ] <stderr>: outputs = self.service.invoke_handler(function_name, inputs) [WARN ] <stderr>: File "/tmp/.djl.ai/python/0.26.0/djl_python/service_loader.py", line 29, ...
File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run ...