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invoke-ai / InvokeAI

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
https://invoke-ai.github.io/InvokeAI/
Apache License 2.0
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[bug]: T2I linear giving a node error #5984

Closed lstein closed 7 months ago

lstein commented 7 months ago

Is there an existing issue for this problem?

Operating system

Linux

GPU vendor

Nvidia (CUDA)

GPU model

RTX 4070

GPU VRAM

12GB

Version number

main (essentially 4.0rc2)

Browser

Google chrome for ios

Python dependencies

{ "accelerate": "0.28.0", "compel": "2.0.2", "cuda": "12.1", "diffusers": "0.27.0", "numpy": "1.26.4", "opencv": "4.9.0.80", "onnx": "1.15.0", "pillow": "10.0.0", "python": "3.10.12", "torch": "2.1.2+cu121", "torchvision": "0.16.2", "transformers": "4.38.2", "xformers": null }

What happened

When I add a T2I adapter to the linear generation, add a control image, and then attempt to generate an image, the following error message pops up in the UI: 

Value Error, invalid collector node t2i_adapter_collect. Path: body.batch.collect

There are no errors in the server log. I have tried rebuilding the front end, clearing the browser cache, etc.

What you expected to happen

I expected image generation to start.

How to reproduce the problem

  1. In the linear view, select an sd-1.5 model.
  2. Press + T2I Adapter
  3. Select the canny-sd15 T2I processor
  4. Drag and drop an image into the control image panel (keep default settings)
  5. Type a prompt and press “Invoke”

Additional context

No response

Discord username

l.stein

psychedelicious commented 7 months ago

I fixed this issue a few days ago. It was a race condition resulting from some async code not being awaited, no ambiguity as to the cause. I can't seem to reproduce it locally, is it possible you were a few commits behind?

psychedelicious commented 7 months ago

I think this was just related to stale UI build.