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feed_forward_vqgan_clip
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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Related posts
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[D] Hosting AI Art Generative ML Model
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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.
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MultiDiffusion Region Control, a prompt on each mask webui extension is out.
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Hubble Diffusion with MultiDiffusion
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MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation