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Hello
Thank you for your work.
I successfully ran your code for the inpainting task with 1000 diffusion steps.
I wonder how we test the model with 20 denoising steps by DDIM?
I used this command…
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Dear authors,
Thank you for sharing this great work and open source!
When following this work, I found that DPM-solver++ performs worse than DDIM under high classifier guidance scale, eg, scale=8 or…
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Good Afternoon,
Firstly, Thank you for your great effort on implementing DDIM,
I have seen a lot of DDPM implementation, but less on DDIM implementation. I have learned alot on the current code
…
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When I choose DDIM as sampler method, the results are bad. The results from PNDM sampler method are great.
I want to know the scheduler configs when using DDIM sampler method.
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In ddim.py, is there any implementation of this todo part: deterministic forward pass?
if mask is not None:
assert x0 is not None
img_orig = self.model.q_sample(x0, …
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Didn't find the code for DDIM inversion, but DDIM sampling directly from noise, why is that?
@torch.no_grad()
def __call__(
self,
prompt: Union[str, List[str]],
mot…
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Hi, I realized that there is no way to specify NFE in the code. The num-sampling-steps argument is passed to odeint to create the estimated path, per torchdiffeq: https://github.com/rtqichen/torchdiff…
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Hi,
Thanks for sharing your wonderful work. I have trouble figuring out the effectiveness of the DDIM process discussed in the paper. Since there is no related ablation study in the paper, I have c…
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using safetensor versions of SDXL
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
missing {'cond_stage_model.clip_g.transformer.t…
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I have used gnochi_mirror.jpeg and the associated prompt "A cat sitting next to a mirror" to try DDIM inversion using SD v1.4 (50 steps) but found the reconstruction quality is fine. What is the sett…