BudFactory commited on
Commit
8d8a58c
1 Parent(s): 447d320

initial upload of the 768px version

Browse files
SD2.1_768/classicnegative768px.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2106fd3b8c4f36dd8b81062a44ae4bc897c9170b1a6caa8a8676b7f34febc33f
3
+ size 2607626819
SD2.1_768/classicnegative768px.yaml ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model:
2
+ base_learning_rate: 1.0e-4
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
16
+ conditioning_key: crossattn
17
+ monitor: val/loss_simple_ema
18
+ scale_factor: 0.18215
19
+ use_ema: False # we set this to false because this is an inference only config
20
+
21
+ unet_config:
22
+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
23
+ params:
24
+ use_checkpoint: True
25
+ use_fp16: True
26
+ image_size: 32 # unused
27
+ in_channels: 4
28
+ out_channels: 4
29
+ model_channels: 320
30
+ attention_resolutions: [ 4, 2, 1 ]
31
+ num_res_blocks: 2
32
+ channel_mult: [ 1, 2, 4, 4 ]
33
+ num_head_channels: 64 # need to fix for flash-attn
34
+ use_spatial_transformer: True
35
+ use_linear_in_transformer: True
36
+ transformer_depth: 1
37
+ context_dim: 1024
38
+ legacy: False
39
+
40
+ first_stage_config:
41
+ target: ldm.models.autoencoder.AutoencoderKL
42
+ params:
43
+ embed_dim: 4
44
+ monitor: val/rec_loss
45
+ ddconfig:
46
+ #attn_type: "vanilla-xformers"
47
+ double_z: true
48
+ z_channels: 4
49
+ resolution: 256
50
+ in_channels: 3
51
+ out_ch: 3
52
+ ch: 128
53
+ ch_mult:
54
+ - 1
55
+ - 2
56
+ - 4
57
+ - 4
58
+ num_res_blocks: 2
59
+ attn_resolutions: []
60
+ dropout: 0.0
61
+ lossconfig:
62
+ target: torch.nn.Identity
63
+
64
+ cond_stage_config:
65
+ target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
66
+ params:
67
+ freeze: True
68
+ layer: "penultimate"