first release

.gitignore

@@ -0,0 +1,3 @@
+trash/*
+tmp
+gradio_cached_examples

.pre-commit-config.yaml

@@ -0,0 +1,37 @@
+exclude: patch
+repos:
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.2.0
+  hooks:
+  - id: check-executables-have-shebangs
+  - id: check-json
+  - id: check-merge-conflict
+  - id: check-shebang-scripts-are-executable
+  - id: check-toml
+  - id: check-yaml
+  - id: double-quote-string-fixer
+  - id: end-of-file-fixer
+  - id: mixed-line-ending
+    args: ['--fix=lf']
+  - id: requirements-txt-fixer
+  - id: trailing-whitespace
+- repo: https://github.com/myint/docformatter
+  rev: v1.4
+  hooks:
+  - id: docformatter
+    args: ['--in-place']
+- repo: https://github.com/pycqa/isort
+  rev: 5.12.0
+  hooks:
+    - id: isort
+- repo: https://github.com/pre-commit/mirrors-mypy
+  rev: v0.991
+  hooks:
+    - id: mypy
+      args: ['--ignore-missing-imports']
+      additional_dependencies: ['types-python-slugify']
+- repo: https://github.com/google/yapf
+  rev: v0.32.0
+  hooks:
+  - id: yapf
+    args: ['--parallel', '--in-place']

.style.yapf

@@ -0,0 +1,5 @@
+[style]
+based_on_style = pep8
+blank_line_before_nested_class_or_def = false
+spaces_before_comment = 2
+split_before_logical_operator = true

Dockerfile

@@ -0,0 +1,63 @@
+FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04
+ENV DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && \
+    apt-get upgrade -y && \
+    apt-get install -y --no-install-recommends \
+    git \
+    zip \
+    unzip \
+    git-lfs \
+    wget \
+    curl \
+    # ffmpeg \
+    ffmpeg \
+    x264 \
+    # python build dependencies \
+    build-essential \
+    libssl-dev \
+    zlib1g-dev \
+    libbz2-dev \
+    libreadline-dev \
+    libsqlite3-dev \
+    libncursesw5-dev \
+    xz-utils \
+    tk-dev \
+    libxml2-dev \
+    libxmlsec1-dev \
+    libffi-dev \
+    liblzma-dev && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+# RUN apt-get update && \
+#     apt-get install zip
+# RUN wget https://github.com/ChenyangQiQi/FateZero/releases/download/v0.0.1/style.zip && unzip style.zip 
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:${PATH}
+WORKDIR ${HOME}/app
+
+RUN curl https://pyenv.run | bash
+ENV PATH=${HOME}/.pyenv/shims:${HOME}/.pyenv/bin:${PATH}
+ENV PYTHON_VERSION=3.10.9
+RUN pyenv install ${PYTHON_VERSION} && \
+    pyenv global ${PYTHON_VERSION} && \
+    pyenv rehash && \
+    pip install --no-cache-dir -U pip setuptools wheel
+
+RUN pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1
+COPY --chown=1000 requirements.txt /tmp/requirements.txt
+RUN pip install --no-cache-dir -U -r /tmp/requirements.txt
+
+COPY --chown=1000 . ${HOME}/app
+RUN ls -a
+RUN cd ./FateZero/ckpt && bash download.sh
+RUN cd ./FateZero/data && bash download.sh
+ENV PYTHONPATH=${HOME}/app \
+    PYTHONUNBUFFERED=1 \
+    GRADIO_ALLOW_FLAGGING=never \
+    GRADIO_NUM_PORTS=1 \
+    GRADIO_SERVER_NAME=0.0.0.0 \
+    GRADIO_THEME=huggingface \
+    SYSTEM=spaces
+CMD ["python", "app_fatezero.py"]

FollowYourPose

@@ -0,0 +1 @@
+Subproject commit 40a333f7f1e3940903916c419b725a4a17f348a1

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 hysts
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

app_followyourpose.py

@@ -0,0 +1,211 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import os
+
+import gradio as gr
+
+from inference_followyourpose import merge_config_then_run
+
+
+# TITLE = '# [FateZero](http://fate-zero-edit.github.io/)'
+HF_TOKEN = os.getenv('HF_TOKEN')
+# pipe = InferencePipeline(HF_TOKEN)
+pipe = merge_config_then_run()
+# app = InferenceUtil(HF_TOKEN)
+
+with gr.Blocks(css='style.css') as demo:
+    # gr.Markdown(TITLE)
+    
+    gr.HTML(
+    """
+    <div style="text-align: center; max-width: 1200px; margin: 20px auto;">
+    <h1 style="font-weight: 900; font-size: 2rem; margin: 0rem">
+        🕺🕺🕺 Follow Your Pose 💃💃💃 </font></center> <br> <center>Pose-Guided Text-to-Video Generation using Pose-Free Videos
+    </h1>
+    <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
+            <a href="https://mayuelala.github.io/">Yue Ma*</a>
+            <a href="https://github.com/YingqingHe">Yingqing He*</a> , <a href="http://vinthony.github.io/">Xiaodong Cun</a>, 
+            <a href="https://xinntao.github.io/"> Xintao Wang </a>,
+            <a href="https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=zh-CN">Ying Shan</a>,
+            <a href="https://scholar.google.com/citations?user=Xrh1OIUAAAAJ&hl=zh-CN">Xiu Li</a>,
+            <a href="http://cqf.io">Qifeng Chen</a>
+    </h2>
+
+    <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
+                  <span class="link-block">
+                    [<a href="https://arxiv.org/abs/2304.01186" target="_blank"
+                    class="external-link ">
+                    <span class="icon">
+                      <i class="ai ai-arxiv"></i>
+                    </span>
+                    <span>arXiv</span>
+                  </a>]
+                </span>
+
+                  <!-- Github link -->
+                  <span class="link-block">
+                    [<a href="https://github.com/mayuelala/FollowYourPose" target="_blank"
+                    class="external-link ">
+                    <span class="icon">
+                      <i class="fab fa-github"></i>
+                    </span>
+                    <span>Code</span>
+                  </a>]
+                </span>
+
+                <!-- Github link -->
+                  <span class="link-block">
+                    [<a href="https://follow-your-pose.github.io/" target="_blank"
+                    class="external-link ">
+                    <span class="icon">
+                      <i class="fab fa-github"></i>
+                    </span>
+                    <span>Homepage</span>
+                  </a>]
+                </span>
+    </h2>
+    <h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
+        TL;DR: We tune 2D stable-diffusion to generate the character videos from pose and text description.
+    </h2>
+    </div>
+    """)
+
+
+    gr.HTML("""
+    <p>Alternatively, try our GitHub <a href=https://github.com/mayuelala/FollowYourPose> code  </a> on your GPU.
+    </p>""")
+
+    with gr.Row():
+        with gr.Column():
+            with gr.Accordion('Input Video', open=True):
+                # user_input_video = gr.File(label='Input Source Video')
+                user_input_video = gr.Video(label='Input Source Video', source='upload', type='numpy', format="mp4", visible=True).style(height="auto")
+                with gr.Accordion('Temporal Crop offset and Sampling Stride', open=False):
+                    n_sample_frame = gr.Slider(label='Number of Frames',
+                                        minimum=0,
+                                        maximum=32,
+                                        step=1,
+                                        value=8)
+                    stride = gr.Slider(label='Temporal stride',
+                                            minimum=0,
+                                            maximum=20,
+                                            step=1,
+                                            value=1)
+                    start_sample_frame = gr.Number(label='Start frame in the video',
+                              value=0,
+                              precision=0)
+
+                with gr.Accordion('Spatial Crop offset', open=False):
+                    left_crop = gr.Number(label='Left crop',
+                              value=0,
+                              precision=0)
+                    right_crop = gr.Number(label='Right crop',
+                              value=0,
+                              precision=0)
+                    top_crop = gr.Number(label='Top crop',
+                              value=0,
+                              precision=0)
+                    bottom_crop = gr.Number(label='Bottom crop',
+                              value=0,
+                              precision=0)
+                    offset_list = [
+                         left_crop,
+                         right_crop,
+                         top_crop,
+                         bottom_crop,
+                    ]
+                
+                ImageSequenceDataset_list = [
+                   start_sample_frame,
+                   n_sample_frame,
+                   stride
+                ] + offset_list
+                
+                # model_id = gr.Dropdown(
+                #     label='Model ID',
+                #     choices=[
+                #         'CompVis/stable-diffusion-v1-4',
+                #         # add shape editing ckpt here
+                #     ],
+                #     value='CompVis/stable-diffusion-v1-4')
+
+
+            with gr.Accordion('Text Prompt', open=True):
+
+                # source_prompt = gr.Textbox(label='Source Prompt',
+                #                     info='A good prompt describes each frame and most objects in video. Especially, it has the object or attribute that we want to edit or preserve.',
+                #                     max_lines=1,
+                #                     placeholder='Example: "a silver jeep driving down a curvy road in the countryside"',
+                #                     value='a silver jeep driving down a curvy road in the countryside')
+                target_prompt = gr.Textbox(label='Target Prompt',
+                                    info='A reasonable composition of video may achieve better results(e.g., "sunflower" video with "Van Gogh" prompt is better than "sunflower" with "Monet")',
+                                    max_lines=1,
+                                    placeholder='Example: "watercolor painting of a silver jeep driving down a curvy road in the countryside"',
+                                    value='watercolor painting of a silver jeep driving down a curvy road in the countryside')
+
+
+
+
+
+            run_button = gr.Button('Generate')
+
+        with gr.Column():
+            result = gr.Video(label='Result')
+            # result.style(height=512, width=512)
+            # with gr.Accordion('FateZero Parameters for attention fusing', open=True):
+                # cross_replace_steps = gr.Slider(label='Cross-att replace steps',
+                #                 info='More steps, replace more cross attention to preserve semantic layout.',
+                #                 minimum=0.0,
+                #                 maximum=1.0,
+                #                 step=0.1,
+                #                 value=0.7)
+                
+                # self_replace_steps = gr.Slider(label='Self-att replace steps',
+                #                 info='More steps, replace more spatial-temporal self-attention to preserve geometry and motion.',
+                #                 minimum=0.0,
+                #                 maximum=1.0,
+                #                 step=0.1,
+                #                 value=0.7)
+                
+                # enhance_words = gr.Textbox(label='Enhanced words',
+                #                     info='Amplify the target-words cross attention',
+                #                     max_lines=1,
+                #                     placeholder='Example: "watercolor "',
+                #                     value='watercolor')
+
+                # enhance_words_value = gr.Slider(label='Target cross-att amplification',
+                #                 info='larger value, more elements of target words',
+                #                 minimum=0.0,
+                #                 maximum=20.0,
+                #                 step=1,
+                #                 value=10)
+            with gr.Accordion('DDIM Parameters', open=True):
+                num_steps = gr.Slider(label='Number of Steps',
+                                      info='larger value has better editing capacity, but takes more time and memory.',
+                                      minimum=0,
+                                      maximum=50,
+                                      step=1,
+                                      value=50)
+                guidance_scale = gr.Slider(label='CFG Scale',
+                                           minimum=0,
+                                           maximum=50,
+                                           step=0.1,
+                                           value=12.5)
+    with gr.Row():
+        from example import style_example
+        examples = style_example
+
+
+    inputs = [
+            user_input_video,
+            target_prompt,
+            num_steps,
+            guidance_scale,
+            *ImageSequenceDataset_list
+    ]
+    target_prompt.submit(fn=pipe.run, inputs=inputs, outputs=result)
+    run_button.click(fn=pipe.run, inputs=inputs, outputs=result)
+
+demo.queue().launch(share=False, server_name='0.0.0.0', server_port=80)

example.py

@@ -0,0 +1,85 @@
+num_steps = 30
+style_example = [
+            [
+                'CompVis/stable-diffusion-v1-4',
+                'FateZero/data/teaser_car-turn.mp4',
+                'a silver jeep driving down a curvy road in the countryside',
+                'watercolor painting of a silver jeep driving down a curvy road in the countryside',
+                0.8, 
+                0.8,
+                "watercolor",
+                10,
+                num_steps,
+                7.5,
+                # input video argument
+                None, 0, 8, 1, 0,0,0,0
+                
+            ]
+            # [
+            #     'CompVis/stable-diffusion-v1-4',
+            #     'FateZero/data/style/sunflower.mp4',
+            #     'a yellow sunflower',
+            #     'van gogh style painting of a yellow sunflower',
+            #     0.5,
+            #     0.5,
+            #     'van gogh',
+            #     10,
+            #     num_steps,
+            #     7.5,
+            #     None, 0, 8, 1, 0,0,0,0
+            # ],
+            # [
+            #     'CompVis/stable-diffusion-v1-4',
+            #     'FateZero/data/style/surf.mp4',
+            #     'a man with round helmet surfing on a white wave in blue ocean with a rope',
+            #     'The Ukiyo-e style painting of a man with round helmet surfing on a white wave in blue ocean with a rope',
+            #     0.9,
+            #     0.9,
+            #     'Ukiyo-e',
+            #     10,
+            #     num_steps,
+            #     7.5,
+            #     None, 0, 8, 1, 0,0,0,0
+            # ],
+            # [
+            #     'CompVis/stable-diffusion-v1-4',
+            #     'FateZero/data/style/train.mp4',
+            #     'a train traveling down tracks next to a forest filled with trees and flowers and a man on the side of the track',
+            #     'a train traveling down tracks next to a forest filled with trees and flowers and a man on the side of the track Makoto Shinkai style',
+            #     0.9,
+            #     0.9,
+            #     'Makoto Shinkai',
+            #     10,
+            #     num_steps,
+            #     7.5,
+            #     None, 0, 8, 28, 0,0,0,0
+            # ],
+
+            # [
+            #     'CompVis/stable-diffusion-v1-4',
+            #     'FateZero/data/attribute/swan_swarov.mp4',
+            #     'a black swan with a red beak swimming in a river near a wall and bushes',
+            #     'a Swarovski crystal swan with a red beak swimming in a river near a wall and bushes',
+            #     0.8,
+            #     0.6,
+            #     'Swarovski crystal',
+            #     10,
+            #     num_steps,
+            #     7.5,
+            #     None, 0, 8, 1, 0,0,0,0
+            # ],
+            # [
+            #     'CompVis/stable-diffusion-v1-4',
+            #     'FateZero/data/attribute/squirrel_carrot.mp4',
+            #     'A squirrel is eating a carrot',
+            #     'A rabbit is eating a eggplant',
+            #     0.5,
+            #     0.5,
+            #     'rabbit eggplant',
+            #     10,
+            #     num_steps,
+            #     7.5,
+            #     None, 0, 8, 1, 0,0,0,0
+            # ],
+
+]

inference_followyourpose.py

@@ -0,0 +1,103 @@
+
+from FollowYourPose.test_followyourpose import *
+
+import copy
+import gradio as gr
+from transformers import AutoTokenizer, CLIPTextModel
+
+
+def get_time_string() -> str:
+    x = datetime.datetime.now()
+    return f"{(x.year - 2000):02d}{x.month:02d}{x.day:02d}-{x.hour:02d}{x.minute:02d}{x.second:02d}"
+
+
+class merge_config_then_run():
+    def __init__(self) -> None:
+            # Load the tokenizer
+        # pretrained_model_path = 'FateZero/ckpt/stable-diffusion-v1-4'
+        self.tokenizer = None
+        self.text_encoder = None
+        self.vae = None
+        self.unet = None
+        
+        # cache_ckpt = False
+        # if cache_ckpt:
+        #     self.tokenizer = AutoTokenizer.from_pretrained(
+        #         pretrained_model_path,
+        #         # 'FateZero/ckpt/stable-diffusion-v1-4',
+        #         subfolder="tokenizer",
+        #         use_fast=False,
+        #     )
+
+        #     # Load models and create wrapper for stable diffusion
+        #     self.text_encoder = CLIPTextModel.from_pretrained(
+        #         pretrained_model_path,
+        #         subfolder="text_encoder",
+        #     )
+
+        #     self.vae = AutoencoderKL.from_pretrained(
+        #         pretrained_model_path,
+        #         subfolder="vae",
+        #     )
+        #     model_config = {
+        #         "lora": 160,
+        #         # temporal_downsample_time: 4
+        #         "SparseCausalAttention_index": ['mid'],
+        #         "least_sc_channel": 640
+        #     }
+        #     self.unet = UNetPseudo3DConditionModel.from_2d_model(
+        #         os.path.join(pretrained_model_path, "unet"), model_config=model_config
+        #     )
+
+    def run(
+        self,
+        data_path,
+        target_prompt,
+        num_steps,
+        guidance_scale,
+        user_input_video=None,
+        start_sample_frame=0,
+        n_sample_frame=8,
+        stride=1,
+        left_crop=0,
+        right_crop=0,
+        top_crop=0,
+        bottom_crop=0,
+    ):
+        default_edit_config='FollowYourPose/configs/pose_sample.yaml'
+        Omegadict_default_edit_config = OmegaConf.load(default_edit_config)
+        
+        dataset_time_string = get_time_string()
+        config_now = copy.deepcopy(Omegadict_default_edit_config)
+        # print(f"config_now['pretrained_model_path'] = model_id {model_id}")
+
+        offset_dict = {
+            "left": left_crop,
+            "right": right_crop,
+            "top": top_crop,
+            "bottom": bottom_crop,
+        }
+        ImageSequenceDataset_dict = {
+            "start_sample_frame" : start_sample_frame,
+            "n_sample_frame" : n_sample_frame,
+            "sampling_rate"       : stride,   
+            "offset": offset_dict,
+        }
+        config_now['validation_data'].update(ImageSequenceDataset_dict)
+        if user_input_video and data_path is None:
+            raise gr.Error('You need to upload a video or choose a provided video')
+        if user_input_video is not None:
+            if isinstance(user_input_video, str):
+                config_now['validation_data']['path'] = user_input_video
+            elif hasattr(user_input_video, 'name') and user_input_video.name is not None:
+                config_now['validation_data']['path'] = user_input_video.name
+        config_now['validation_data']['prompts'] = [target_prompt]
+        # ddim config
+        config_now['validation_data']['guidance_scale'] = guidance_scale
+        config_now['validation_data']['num_inference_steps'] = num_steps
+        config_now['skeleton_path'] = data_path
+        
+        save_path = test(**config_now)
+        mp4_path = save_path.replace('_0.gif', '_0_0_0.mp4')
+        return mp4_path
+

packages.txt

@@ -0,0 +1 @@
+ffmpeg

requirements.txt

@@ -0,0 +1,133 @@
+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+_libgcc_mutex=0.1=main
+_openmp_mutex=5.1=1_gnu
+absl-py=1.4.0=pypi_0
+accelerate=0.16.0=pypi_0
+aiofiles=23.1.0=pypi_0
+aiohttp=3.8.4=pypi_0
+aiosignal=1.3.1=pypi_0
+altair=4.2.2=pypi_0
+antlr4-python3-runtime=4.9.3=pypi_0
+anyio=3.6.2=pypi_0
+async-timeout=4.0.2=pypi_0
+attrs=22.2.0=pypi_0
+av=10.0.0=pypi_0
+bitsandbytes=0.35.4=pypi_0
+ca-certificates=2023.01.10=h06a4308_0
+cachetools=5.3.0=pypi_0
+certifi=2022.12.7=py38h06a4308_0
+charset-normalizer=3.0.1=pypi_0
+click=8.1.3=pypi_0
+contourpy=1.0.7=pypi_0
+cycler=0.11.0=pypi_0
+decord=0.6.0=pypi_0
+diffusers=0.11.1=pypi_0
+einops=0.6.0=pypi_0
+entrypoints=0.4=pypi_0
+fastapi=0.95.0=pypi_0
+ffmpy=0.3.0=pypi_0
+filelock=3.9.0=pypi_0
+fonttools=4.39.3=pypi_0
+frozenlist=1.3.3=pypi_0
+fsspec=2023.3.0=pypi_0
+ftfy=6.1.1=pypi_0
+google-auth=2.16.1=pypi_0
+google-auth-oauthlib=0.4.6=pypi_0
+gradio=3.24.1=pypi_0
+gradio-client=0.0.7=pypi_0
+grpcio=1.51.3=pypi_0
+h11=0.14.0=pypi_0
+httpcore=0.16.3=pypi_0
+httpx=0.23.3=pypi_0
+huggingface-hub=0.13.3=pypi_0
+idna=3.4=pypi_0
+imageio=2.25.1=pypi_0
+importlib-metadata=6.0.0=pypi_0
+importlib-resources=5.12.0=pypi_0
+jinja2=3.1.2=pypi_0
+jsonschema=4.17.3=pypi_0
+kiwisolver=1.4.4=pypi_0
+ld_impl_linux-64=2.38=h1181459_1
+libffi=3.4.2=h6a678d5_6
+libgcc-ng=11.2.0=h1234567_1
+libgomp=11.2.0=h1234567_1
+libstdcxx-ng=11.2.0=h1234567_1
+linkify-it-py=2.0.0=pypi_0
+markdown=3.4.1=pypi_0
+markdown-it-py=2.2.0=pypi_0
+markupsafe=2.1.2=pypi_0
+matplotlib=3.7.1=pypi_0
+mdit-py-plugins=0.3.3=pypi_0
+mdurl=0.1.2=pypi_0
+modelcards=0.1.6=pypi_0
+multidict=6.0.4=pypi_0
+mypy-extensions=1.0.0=pypi_0
+ncurses=6.4=h6a678d5_0
+numpy=1.24.2=pypi_0
+nvidia-cublas-cu11=11.10.3.66=pypi_0
+nvidia-cuda-nvrtc-cu11=11.7.99=pypi_0
+nvidia-cuda-runtime-cu11=11.7.99=pypi_0
+nvidia-cudnn-cu11=8.5.0.96=pypi_0
+oauthlib=3.2.2=pypi_0
+omegaconf=2.3.0=pypi_0
+opencv-python=4.7.0.72=pypi_0
+openssl=1.1.1t=h7f8727e_0
+orjson=3.8.9=pypi_0
+packaging=23.0=pypi_0
+pandas=1.5.3=pypi_0
+pillow=9.4.0=pypi_0
+pip=22.3.1=py38h06a4308_0
+pkgutil-resolve-name=1.3.10=pypi_0
+protobuf=4.22.0=pypi_0
+psutil=5.9.4=pypi_0
+pyasn1=0.4.8=pypi_0
+pyasn1-modules=0.2.8=pypi_0
+pydantic=1.10.7=pypi_0
+pydub=0.25.1=pypi_0
+pyparsing=3.0.9=pypi_0
+pyre-extensions=0.0.23=pypi_0
+pyrsistent=0.19.3=pypi_0
+python=3.8.16=h7a1cb2a_2
+python-dateutil=2.8.2=pypi_0
+python-multipart=0.0.6=pypi_0
+pytz=2022.7.1=pypi_0
+pyyaml=6.0=pypi_0
+readline=8.2=h5eee18b_0
+regex=2022.10.31=pypi_0
+requests=2.28.2=pypi_0
+requests-oauthlib=1.3.1=pypi_0
+rfc3986=1.5.0=pypi_0
+rsa=4.9=pypi_0
+semantic-version=2.10.0=pypi_0
+setuptools=65.6.3=py38h06a4308_0
+six=1.16.0=pypi_0
+sniffio=1.3.0=pypi_0
+sqlite=3.40.1=h5082296_0
+starlette=0.26.1=pypi_0
+tensorboard=2.12.0=pypi_0
+tensorboard-data-server=0.7.0=pypi_0
+tensorboard-plugin-wit=1.8.1=pypi_0
+tk=8.6.12=h1ccaba5_0
+tokenizers=0.13.2=pypi_0
+toolz=0.12.0=pypi_0
+torch=1.13.1=pypi_0
+torchvision=0.14.1=pypi_0
+tqdm=4.64.1=pypi_0
+transformers=4.26.1=pypi_0
+triton=1.1.1=pypi_0
+typing-extensions=4.5.0=pypi_0
+typing-inspect=0.8.0=pypi_0
+uc-micro-py=1.0.1=pypi_0
+urllib3=1.26.14=pypi_0
+uvicorn=0.21.1=pypi_0
+wcwidth=0.2.6=pypi_0
+websockets=11.0=pypi_0
+werkzeug=2.2.3=pypi_0
+wheel=0.38.4=py38h06a4308_0
+xformers=0.0.16=pypi_0
+xz=5.2.10=h5eee18b_1
+yarl=1.8.2=pypi_0
+zipp=3.14.0=pypi_0
+zlib=1.2.13=h5eee18b_0

style.css

@@ -0,0 +1,3 @@
+h1 {
+  text-align: center;
+}