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ermongroup / ddim

Denoising Diffusion Implicit Models
MIT License
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sample seq problem #40

Open redcping opened 3 months ago

redcping commented 3 months ago

In the diffusion.py file, during uniform sampling, the sequence is obtained as follows: skip = self.num_timesteps // self.args.timesteps seq = range(0, self.num_timesteps, skip) However, when sampling 10 steps, the generated sequence is [0, 100, 200, 300, 400, 500, 600, 700, 800, 900]. This means the denoising starts from t=900. Shouldn't the sequence be [0, 111, 222, 333, 444, 555, 666, 777, 888, 999] to ensure a more evenly spaced sampling?

qiaozhijian commented 1 month ago

See this issue 686. It seems starting from 1000 is better.