Comments (1)
There's no single pretrained network here to make images from text. There's BigGAN to make images and CLIP to evaluate how an image matches a given text. Therefore one has to iterate to find an image which matches the prompt, that's why you are seeing epochs and losses. The loss measures how well the current image matches the text, and the goal is to minimise it. The models are not being trained at all.
from big-sleep.
Related Issues (20)
- Can't install because of conflicting dependencies HOT 5
- RuntimeError: Model has been downloaded but the SHA256 checksum does not not match HOT 3
- [help wanted] Just how much vram is needed to enable the option for OpenAI's larger model? HOT 1
- I would like to know dataset for BigGAN training
- Checkpoint
- Generated images are completely black?! 😵 What am I doing wrong? HOT 7
- Run big sleep in kaggle
- M1 "cuda" Support ? HOT 10
- whoops
- Option for initializing the generation with an image file? HOT 15
- Does it work on mac ? HOT 6
- How to use the CUDA to big-sleep?
- Error: tensor is not a torch image
- About warmup step of CLIP
- 1girl, simple background , nsfw ,{ pants ), messy , cum on bodyI ), wet , mist , stream , crying medium breast , short curly messy hair ,( blue hair )(( pink mediumhair )), beautiful aqua gradient blue and pink eyes ( torn . clothes ) I , nude , white clothes , streaming tear , upper body HOT 1
- Man in Sky
- Development HOT 1
- Pixshot.AI
- AI图片生成 HOT 1
- s
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from big-sleep.