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How come when I sample a 64x64 unconditional model off the shelf, I get only noise?
See original GitHub issue
python scripts/image_sample.py --model_path /path/to/model.pt $MODEL_FLAGS $DIFFUSION_FLAGS
How come when I run this combination the sampled images are just static noises? I get that the model is unconditional, is that why? Or am I doing something wrong
Issue Analytics
- State:
- Created 2 years ago
- Comments:15
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I encountered the same problem when training on a custom dataset (cats). To be specific, the model only produces static noise on 4000 steps. However, after another 4000 steps, it can actually produce blurred cats. So I believe more training steps may work.