Onocom commited on
Commit
b167e96
1 Parent(s): d116b28

Delete Ono-CrossFusion/Ono-CrossFusion - V6.yaml

Browse files
Ono-CrossFusion/Ono-CrossFusion - V6.yaml DELETED
@@ -1,72 +0,0 @@
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
- use_fp16: True
34
- image_size: 32 # unused
35
- in_channels: 4
36
- out_channels: 4
37
- model_channels: 320
38
- attention_resolutions: [ 4, 2, 1 ]
39
- num_res_blocks: 2
40
- channel_mult: [ 1, 2, 4, 4 ]
41
- num_heads: 8
42
- use_spatial_transformer: True
43
- transformer_depth: 1
44
- context_dim: 768
45
- use_checkpoint: True
46
- legacy: False
47
-
48
- first_stage_config:
49
- target: ldm.models.autoencoder.AutoencoderKL
50
- params:
51
- embed_dim: 4
52
- monitor: val/rec_loss
53
- ddconfig:
54
- double_z: true
55
- z_channels: 4
56
- resolution: 256
57
- in_channels: 3
58
- out_ch: 3
59
- ch: 128
60
- ch_mult:
61
- - 1
62
- - 2
63
- - 4
64
- - 4
65
- num_res_blocks: 2
66
- attn_resolutions: []
67
- dropout: 0.0
68
- lossconfig:
69
- target: torch.nn.Identity
70
-
71
- cond_stage_config:
72
- target: ldm.modules.encoders.modules.FrozenCLIPEmbedder