SOLVED: 10.11 RC1 Install Issue

[Jamie Chapman]

So, I completely boneheaded the upgrade to 10.11 RC1. I was so excited that there was a release candidate for 10.11 that I went off the rails. 

I didn't bother to read the release notes, which would have told me that I needed to wait longer than five minutes after loading the preview docker. Once I messed this up, I said to heck with it, I'll just create it all clean, no upgrade, and deal with the full rebuild, why not?

I did that. I backed up the original cache and data folders and created clean ones with a preview docker image. Once the system fires up, when I attempt to access on port 8096, I receive the following:

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Jellyfin log: [10:24:24] [INF] [88] Jellyfin.Api.Auth.CustomAuthenticationHandler: CustomAuthentication was not authenticated. Failure message: Invalid token.

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In my browser I am getting: 

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Server Unavailable

We're unable to connect to the selected server right now. Please ensure it is running and try again.

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If I refresh the page, another jellyfin log entry the same as above appears.

Here is my docker compose file. Is there something I need to change? This is the same compose file (other than changing latest to preview) that I was using on 10.10.7. Please ignore the emojis created by the colon and slash. The file is properly formatted, and I can't figure out how to tell the forum markup tools to stop creating frowny faces. 

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services:
  jellyfin:
    image: jellyfin/jellyfin:preview
    container_name: jellyfin
    network_mode: 'bridge'
    ports:
      - 8096:8096
#      - 80:80
#      - 443:443
    volumes:
      - D:\DockerData\jellyfin\configconfig
      - D:\DockerData\jellyfin\cachecache
      - D:\Videosmovies
      - D:\TV_Showstv_shows
      - D:\OneDrive\Musicmusic
      - D:\OneDrive\Music_Videosmusic_videos
      - D:\OneDrive\Booksbooks
    environment:
      - TZ=America/New_York
    restart: 'unless-stopped'
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1 # alternatively, use all for all GPUs
              capabilities: [gpu]

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