Google Imagen 2

Post by datadrivenangel » Wed, Dec 13, 2023, 4:59 PM UTC

verdverm wrote: post #29

For the peer comments - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the umbrella for all of the Google models available throu…

Post by bmoxb » Wed, Dec 13, 2023, 5:01 PM UTC

fooker wrote: post #33

fullsend wrote: post #25

Earlier quoted context omitted.

According to Fiona Cicconi, Google’s chief people officer, Google employed 30,000 managers before the recent layoffs. The hard truth is Google needs a Twitter style culling. Take all those billions you're burning and give it to people with a builder mentality, not career sheeple. Unfortunately the same executives who would oversee this are the ones who need to be culled first.

From what I understand, Google has a unusually large number of engineers who are happy to coast, and would actively avoid taking on anything important. That seems more of an issue to me compared to middle management bloat.

Post by verdverm » Wed, Dec 13, 2023, 5:04 PM UTC

datadrivenangel wrote: post #41

verdverm wrote: post #29

For the peer comments - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the umbrella for all of the Google models available throu…

Why do Google and Amazon overload their data science notebook offerings with a lot of half-baked poorly documented models and features? Is this just an end-run around incompetent security teams or something?

Post by gpm » Wed, Dec 13, 2023, 5:10 PM UTC

simonw wrote: post #2

This post has more information: https://cloud.google.com/blog/products/ai-machine-learning/i... I can't figure out how to try this thing. The closest I got was this sentence: "To get started with Imagen 2 on Vertex AI, find our documentation or reach out to your Google Cloud account representative to join the Trusted Tester Program."

    curl -X POST \
        -H "Authorization: Bearer $(gcloud auth print-access-token)" \
        -H "Content-Type: application/json; charset=utf-8" \
        -d @request.json \
        "https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/imagegeneration@002:predict"

    {
      "instances": [
        {
          "prompt": "TEXT_PROMPT"
        }
      ],
      "parameters": {
        "sampleCount": IMAGE_COUNT
      }
    }

    {
      "predictions": [
        {
          "bytesBase64Encoded": "BASE64_IMG_BYTES",
          "mimeType": "image/png"
        },
        {
          "mimeType": "image/png",
          "bytesBase64Encoded": "BASE64_IMG_BYTES"
        }
      ],
      "deployedModelId": "DEPLOYED_MODEL_ID",
      "model": "projects/PROJECT_ID/locations/us-central1/models/MODEL_ID",
      "modelDisplayName": "MODEL_DISPLAYNAME",
      "modelVersionId": "1"
    }

Post by [deleted] » Wed, Dec 13, 2023, 5:16 PM UTC

verdverm wrote: post #29

For the peer comments - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the umbrella for all of the Google models available throu…