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4d7eea0
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Add more config files (#4)

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- Add more config files (247a733ea4f0454e95e7c5f64f9ca1512c711bdd)


Co-authored-by: Without Ordinary <[email protected]>

fluffyrock-NoPE/fluffyrock-NoPE-e82-terminal-snr-e1.yaml ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ model:
2
+ base_learning_rate: 1.0e-04
3
+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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+ params:
5
+ parameterization: "v"
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+ linear_start: 0.00085
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+ linear_end: 0.0120
8
+ num_timesteps_cond: 1
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+ log_every_t: 200
10
+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false # Note: different from the one we trained before
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+
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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 ] # incredibly large number to prevent corner cases
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+ f_start: [ 1.e-6 ]
27
+ f_max: [ 1. ]
28
+ f_min: [ 1. ]
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+
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+ unet_config:
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+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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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: 256
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+ in_channels: 3
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+ out_ch: 3
58
+ ch: 128
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+ ch_mult:
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+ - 1
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+ - 2
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+ - 4
63
+ - 4
64
+ num_res_blocks: 2
65
+ attn_resolutions: []
66
+ dropout: 0.0
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+ lossconfig:
68
+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
fluffyrock-NoPE/fluffyrock-NoPE-e84-terminal-snr-vpred-e3.yaml ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ base_learning_rate: 1.0e-04
3
+ target: ldm.models.diffusion.ddpm.LatentDiffusion
4
+ params:
5
+ parameterization: "v"
6
+ linear_start: 0.00085
7
+ linear_end: 0.0120
8
+ num_timesteps_cond: 1
9
+ log_every_t: 200
10
+ timesteps: 1000
11
+ first_stage_key: "jpg"
12
+ cond_stage_key: "txt"
13
+ image_size: 64
14
+ channels: 4
15
+ cond_stage_trainable: false # Note: different from the one we trained before
16
+ conditioning_key: crossattn
17
+ monitor: val/loss_simple_ema
18
+ scale_factor: 0.18215
19
+ use_ema: False
20
+
21
+ scheduler_config: # 10000 warmup steps
22
+ target: ldm.lr_scheduler.LambdaLinearScheduler
23
+ params:
24
+ warm_up_steps: [ 10000 ]
25
+ cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
26
+ f_start: [ 1.e-6 ]
27
+ f_max: [ 1. ]
28
+ f_min: [ 1. ]
29
+
30
+ unet_config:
31
+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
32
+ params:
33
+ image_size: 32 # unused
34
+ in_channels: 4
35
+ out_channels: 4
36
+ model_channels: 320
37
+ attention_resolutions: [ 4, 2, 1 ]
38
+ num_res_blocks: 2
39
+ channel_mult: [ 1, 2, 4, 4 ]
40
+ num_heads: 8
41
+ use_spatial_transformer: True
42
+ transformer_depth: 1
43
+ context_dim: 768
44
+ use_checkpoint: True
45
+ legacy: False
46
+
47
+ first_stage_config:
48
+ target: ldm.models.autoencoder.AutoencoderKL
49
+ params:
50
+ embed_dim: 4
51
+ monitor: val/rec_loss
52
+ ddconfig:
53
+ double_z: true
54
+ z_channels: 4
55
+ resolution: 256
56
+ in_channels: 3
57
+ out_ch: 3
58
+ ch: 128
59
+ ch_mult:
60
+ - 1
61
+ - 2
62
+ - 4
63
+ - 4
64
+ num_res_blocks: 2
65
+ attn_resolutions: []
66
+ dropout: 0.0
67
+ lossconfig:
68
+ target: torch.nn.Identity
69
+
70
+ cond_stage_config:
71
+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder