Dreamer-V is a user-friendly web interface designed to simplify the use of Google's Veo video generation models. It aims to provide an intuitive experience, especially for non-technical users.

The concept for Dreamer-V is directly informed by real customer feedback. Veo models offer leading video generation capabilities, and we've collaborated with various groups of users. Through this engagement, we've identified a key difference in Veo users compared to other GCP services: they are artists, game designers, and game producers, not SRE engineers or developers. These non-technical users often find the GCP console overwhelming and require a simplified, user-friendly interface to quickly begin innovating with Veo.

• The default Vertex AI UI is not optimized for non-technical users (e.g., art designers, program managers).
• Many new Veo features are API-only during preview, requiring users to wait for UI updates to access them.

• Provide an easy-to-access, intuitive, and feature-rich Veo user interface.
• Enable users to leverage new Veo capabilities earlier.
• Create a handy tool for demonstrating Veo's full potential.

• Veo 2 & Veo 3 Support: Works with the latest Veo models.
• First/Last Frame Control: Specify the starting and ending frames for your video.
• Camera Controls: Adjust camera angles and movements.
• Extend Video: Seamlessly extend existing video clips.
• Prompt Refine: Tools to help you craft the perfect prompt.
• Scene Presets: Quickly apply predefined scene settings.
• Intuitive History Browsing: Easily access and manage your past generations.
• Cloud Shell & Cloud Run Ready: Flexible deployment options.
• More are coming! We are continuously working on new features.

This section guides you through deploying and running Dreamer-V. You can choose to run it in Google Cloud Shell for a quick start or deploy it to Cloud Run for a more robust and scalable solution.

Before you begin, you need to set up your Google Cloud Project. You can do this by running the init_project_setup.sh script, which will enable the required services and grant the necessary IAM permissions.

./init_project_setup.sh <YOUR_PROJECT_ID>

gcloud services enable aiplatform.googleapis.com
gcloud services enable run.googleapis.com
gcloud services enable iap.googleapis.com
gcloud services enable compute.googleapis.com
gcloud services enable storage.googleapis.com
gcloud services enable sqladmin.googleapis.com
gcloud services enable cloudresourcemanager.googleapis.com

Get started with Dreamer-V instantly using Cloud Shell! This is ideal for quick testing and development.

Setup Steps:

1. Navigate to your Google Cloud Project (Veo 3/Veo 2 exp access highly recommended!).
2. Open Cloud Shell.
3. Run the following commands:

   GCP_PROJECT_ID=veo-testing
   gcloud config set project ${GCP_PROJECT_ID}
   BUCKET=gs://dreamer-v-${GCP_PROJECT_ID}-${USER}-data
   gsutil mb ${BUCKET}
   mkdir -p dreamer-v-data
   docker run -d --name dreamer-v-app \
       -p 8080:80 \
       -e GCP_PROJECT_ID=${GCP_PROJECT_ID}\
       -e GCP_REGION=us-central1 \
       -e VIDEO_GCS_BUCKET=${BUCKET} \
       -v ~/dreamer-v-data:/app/backend/data \
       --rm \
       nicosoft/dreamer-v:latest

For a more permanent and scalable setup, deploy Dreamer-V to Cloud Run. This method uses Terraform for infrastructure provisioning.

Deployment Steps:

1. Clone the git repository:

   git clone https://github.com/nichochen/dreamer-v

2. Navigate to the deployment directory:

   cd dreamer-v/deployment/

3. Edit terraform.tfvars to update variables.

4. Initialize Terraform:

   terraform init

5. Plan the Terraform deployment:

   terraform plan

6. Apply the Terraform configuration:

   terraform apply

7. Grant the IAP-secured Web App User role to users who need to access the application.

   gcloud projects add-iam-policy-binding <YOUR_PROJECT_ID> \
     --member="user:<USER_EMAIL>" \
     --role="roles/iap.httpsResourceAccessor"

   Replace <YOUR_PROJECT_ID> with your Google Cloud project ID and <USER_EMAIL> with the user's email address.

   Notice: The Terraform script enables IAP for Cloud Run, which has a limitation. IAP uses a Google-managed OAuth client to authenticate users, and only users within the same organization can access the IAP-enabled application. If you need to allow access for users outside of your organization, please see Enable IAP for external users.

Important: Make sure to enforce access control when deploying on Cloud Run, for example, by using IAP.

• Veo 3 GA Support: Added support for veo-3.0-generate-001 (2025-07-30).
• Usage Analysis: Implemented usage analysis feature (2025-07-27).
• 1080p Support: Added support for 1080p resolution for Veo 3.0 models (2025-07-18).
• Veo 3.0 Support: Added support for veo-3.0-fast-generate-preview (2025-07-12).
• Cloud SQL Backend: Integrated a Cloud SQL for PostgreSQL database (2025-07-03).
• Automated DB Migrations: Implemented SQLAlchemy-based automated database migrations (2025-07-02).
• Generate Audio: Added a "Generate audio" checkbox for the Veo 3.0 model, allowing users to disable audio generation to save costs (2025-07-02).
• Internationalization: Added Korean language support (2025-06-28).
• Improved UX: Enhanced the video player and task history UX (2025-06-26).
• Error Handling: Improved error handling and UI for video generation (2025-06-26).
• Video Playback: Implemented video track playback and resizing (2025-06-19).
• Cloud Run Deployment: Added Terraform support for deploying to Cloud Run (2025-06-15).

Share your thoughts and suggestions.