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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better feed_forward_vqgan_clip alternative or higher similarity.
feed_forward_vqgan_clip reviews and mentions
Posts with mentions or reviews of feed_forward_vqgan_clip.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-11.
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[D] Hosting AI Art Generative ML Model
WOMBO I suspect uses the feed forward inferential approach to VQGAN + CLIP (instead of finetuning, predict the final z latent vector for a given text input) which is why their outputs are less sophisticated: as a result there are many deployment optimizations you can do to speed that up, which may be complicated.
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A small experiment on how changes in a text prompt may affect output image in a CLIP-based system
The system used to produce these images is unlike most other VQGAN+CLIP systems because it uses a neural network trained by the developer(s) instead of an iterative process. This system is known to have a "formula" for image layout.
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Get a VQGAN output image for a given text description almost instantly (not including time for one-time setup) using Colab notebook "Feed Forward VQGAN CLIP - Using a pretrained model" from mehdidc. Here are 20 non-cherry picked images from the notebook. Details in a comment.
Hello, some news. For those who are interested, I released new models (release 0.2) that you could try and you might find them better (depending on the prompt) than the current one(s), also the problem that was mentioned by /u/Wiskkey is less visible (object parts appearing systematically on top-left), but still not 100% solved, there is still a common global structure that can be identified, but it's more centered on the image. The Colab notebook was updated to use the new models.
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
Basic feed_forward_vqgan_clip repo stats
4
136
3.7
4 months ago
mehdidc/feed_forward_vqgan_clip is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of feed_forward_vqgan_clip is Python.
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