Comments (3)
Alright to sum it up:
- The paper's model, "GLIDE", is not released.
- The released model is called "GLIDE (filtered)".
- The paper's model has 10x more parameters (more intelligence/detail). The small public model has 300 million parameters, compared to the unreleased 3.5 billion parameter model.
- The public model can do 256x256. The paper's model can do 256x256 and 512x512.
- The public model has filtered all humans, violent objects (weapons etc), and hate symbols (swastikas etc). It doesn't know anything about what those look like so it can't draw those.
- Here's a comparison between the paper's model (top row of image) and the released model (last row of image): #2 (comment)
So the public model can basically make pretty bad output and no humans.
I guess they're never going to release the detailed model since they'll probably turn it into some product they sell to companies later.
Maybe it'll be like GPT-Neo later, where some open source folks take the paper and re-implement the full model and re-train it from scratch on open source data.
from glide-text2im.
what is it filtered on exactly?
from glide-text2im.
So what is it filtered on exactly? Because I tried a few things like "Elon Musk as a saint on Mars in the style of Salvador DalΓ" but it just created a picture of an Elk with I guess a somewhat Martian color background.
I assume this is because of the filtering. It doesn't know who Elon Musk is. So I'm wondering, what is left? Apart from Corgi's.
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Related Issues (20)
- While running the clip_guided notebook in CPU mode I get: "RuntimeError - Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.FloatTensor instead" HOT 8
- Larger batch size to generate images in text2im.ipynb? HOT 2
- Training parameters
- In GPU mode generated image is all black with NaN tensor values (no problems in CPU mode) HOT 8
- Better resolution images for inpainting HOT 4
- Has the inpainting Colab been developed with the CLIP-guided version?
- disappointed, looks the model is poor for unseen data HOT 2
- In the clipped guided version, were GLIDE (filtered) and CLIP trained together?
- Question about the CLIP model HOT 2
- Question about generating masks
- YouTube video walk-through of this codebase
- How could I load a mask generated by myself? HOT 2
- Ways to reduce number of failed inpaints?
- Fixing Random Seed
- About CLIP training on nosied images
- Experimental IS and FID values without classifier guidance and CLIP guidance
- Inpaiting fin-tune details HOT 1
- How can i use .py file to run project in pycharm?
- Something wrong with upsample-inpaint checkpoint
- Is the formula for CFG different from the reference?
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