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Upload img2audio_args.yaml
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text_to_audio/Make_An_Audio/configs/img_to_audio/img2audio_args.yaml
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model:
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base_learning_rate: 1.0e-05
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target: ldm.models.diffusion.ddpm_audio.LatentDiffusion_audio
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params:
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linear_start: 0.00085
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linear_end: 0.0120
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num_timesteps_cond: 1
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log_every_t: 200
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timesteps: 1000
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first_stage_key: image
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cond_stage_key: caption
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image_size: 32 # unused
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mel_dim: 10 # 80 // 2^3
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mel_length: 78 # 624 // 2^3
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channels: 4
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cond_stage_trainable: false
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conditioning_key: crossattn
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monitor: val/loss_simple_ema
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scale_by_std: True
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use_ema: False
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scheduler_config: # 10000 warmup steps
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target: ldm.lr_scheduler.LambdaLinearScheduler
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params:
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warm_up_steps: [10000]
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cycle_lengths: [10000000000000]
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f_start: [1.e-6]
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f_max: [1.]
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f_min: [ 1.]
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unet_config:
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target: ldm.modules.diffusionmodules.custom_openaimodel.UNetModel
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params:
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image_size: 32 # ununsed
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in_channels: 4
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out_channels: 4
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model_channels: 256
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attention_resolutions:
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- 1
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- 2
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num_res_blocks: 2
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channel_mult: # num_down = len(ch_mult)-1
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- 1
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- 2
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num_head_channels: 32
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use_spatial_transformer: true
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transformer_depth: 1
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context_dim: 1024
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use_context_project: false
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first_stage_config:
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target: ldm.models.autoencoder.AutoencoderKL
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params:
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embed_dim: 4
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monitor: val/rec_loss
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ddconfig:
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double_z: true
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z_channels: 4
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resolution: 848
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in_channels: 1
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out_ch: 1
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ch: 128
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ch_mult: [ 1, 2, 2, 4 ] # num_down = len(ch_mult)-1
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num_res_blocks: 2
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attn_resolutions: [106, 212]
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dropout: 0.0
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lossconfig:
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target: torch.nn.Identity
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cond_stage_config:
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target: ldm.modules.encoders.modules.FrozenGlobalNormOpenCLIPEmbedder
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params:
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freeze: True
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delvisual: False
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