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
- 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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from glide-text2im.