Comments (4)
Did you check the model flag when you run the script? For example:
--learn_sigma True --num_channels 128 --num_head_channels 64 --num_res_blocks 1 --resblock_updown True --use_scale_shift_norm True
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Thanks for the reply!!!! I could generate some samples with your help.
I will enjoy changing the number of N and range t to produce various results.
Thanks again for helping me out!
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Did you check the model flag when you run the script? For example:
--learn_sigma True --num_channels 128 --num_head_channels 64 --num_res_blocks 1 --resblock_updown True --use_scale_shift_norm True
Hi, I also met this RuntimeError: Error(s) in loading state_dict for UNetModel:
when I want to run the code on my own dataset.
There is my code to run the script:
python scripts/ilvr_sample.py --attention_resolutions 16 --class_cond False --diffusion_steps 1000 --dropout 0.0 --image_size 512 --learn_sigma True --noise_schedule linear --num_channels 128 --num_head_channels 64 --num_res_blocks 3 --resblock_updown True --use_fp16 False --use_scale_shift_norm True --timestep_respacing 100 --model_path models/512x512_diffusion.pt --base_samples ref_imgs/magnetogram/500G --down_N 32 --range_t 20 --save_dir output/magnetogram_N32
Could you please tell me how to solve this problem? @jychoi118
Thanks a lot!!!
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My problem is also #2 (comment).
Could you please provide a way to solve it. Thanks. @jychoi118
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Related Issues (20)
- FID test settings HOT 1
- Possible errors about using q_sample(x, t) HOT 2
- DDIM sampling HOT 1
- Confusing about timesteps HOT 1
- About super_res_sample HOT 3
- Questions about style transfer HOT 2
- Some issues about your scripts
- The inference process is very slow HOT 1
- Nice work! Can ILVR be used for Distillation related work?
- Can this model be applied to other data modalities? HOT 1
- Adaption of pre-trained model
- Hi, I want to run this code on my own dataset for image to image task,what should I do? HOT 3
- about requirements
- mltiple gpu HOT 1
- Checkpoints no longer available HOT 2
- Questions about the training process HOT 2
- Generating images is very slow HOT 1
- About conditioning range and downsampling factors
- Checkpoints no longer available! HOT 2
- Why not use L2 distance gradient?
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