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@@ -9,7 +9,7 @@ This is an unconditioned 256x256x3 guided-diffusion checkpoint trained with 4.8M
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  #### Sampling
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- Run image_sample.py from OpenAI's guided-diffusion repo or plug it into Disco Diffusion if you wish to CLIP guide the model.
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  ```
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  python3 scripts/image_sample.py --num_samples 128 --timestep_respacing ddim250 --model_path ema_0.9999_940000.pt --attention_resolutions 32,16,8 --class_cond False --diffusion_steps 1000 --image_size 256 --learn_sigma True --noise_schedule linear --num_channels 256 --num_head_channels 64 --num_res_blocks 2 --resblock_updown True --use_fp16 True --use_scale_shift_norm True --use_ddim True
 
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  #### Sampling
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+ Run image_sample.py from OpenAI's guided-diffusion repo or plug it into Disco Diffusion if you wish to diffuse with CLIP guidance.
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  ```
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  python3 scripts/image_sample.py --num_samples 128 --timestep_respacing ddim250 --model_path ema_0.9999_940000.pt --attention_resolutions 32,16,8 --class_cond False --diffusion_steps 1000 --image_size 256 --learn_sigma True --noise_schedule linear --num_channels 256 --num_head_channels 64 --num_res_blocks 2 --resblock_updown True --use_fp16 True --use_scale_shift_norm True --use_ddim True