ai-art-generator
vqgan-clip-generator
| ai-art-generator | vqgan-clip-generator | |
|---|---|---|
| 3 | 2 | |
| 627 | 110 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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ai-art-generator
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Cheap setup to run SD?
I have a github project that will help you set up large batches of prompts too.
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Local AI art generation tool updated for Stable Diffusion
Hey all, just a note that I've updated my AI-art generator to work with Stable Diffusion (both txt2img and imgtoimg)! If you have a decent GPU (8GB VRAM+, though more is better), you should be able to use Stable Diffusion on your local computer.
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Tesla M40 24GB GPU: very poor machine-learning performance?
I'm a software engineer, but a complete machine-learning noob (not exactly a linux guru, either). I'm trying to use the GPU for VQGAN+CLIP image generation. Running on an RTX 3060, I get almost 4 iterations per second, so a 512x512 image takes about 2 minutes to create with default settings. Running on the Tesla M40, I get about 0.4 iterations per second (~22 minutes per 512x512 image at the same settings). A full order of magnitude slower! I'd read that older Tesla GPUs are some of the top value picks when it comes to ML applications, but obviously with this level of performance that isn't the case at all. I figure I must be going wrong somewhere.
vqgan-clip-generator
What are some alternatives?
Animender - An AI that recommends anime based on personal history.
AI-Art-Generator - A program that can add an artistic touch to any image.
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