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MindOfMatter
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@@ -0,0 +1,73 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-04
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 10000 ]
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
params:
|
||||
layer: "hidden"
|
||||
layer_idx: -2
|
||||
@@ -0,0 +1,70 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-04
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 10000 ]
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
@@ -0,0 +1,73 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-04
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 10000 ]
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
params:
|
||||
layer: "hidden"
|
||||
layer_idx: -2
|
||||
@@ -0,0 +1,74 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-04
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 10000 ]
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_fp16: True
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
params:
|
||||
layer: "hidden"
|
||||
layer_idx: -2
|
||||
@@ -0,0 +1,71 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-04
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 10000 ]
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_fp16: True
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
@@ -0,0 +1,71 @@
|
||||
model:
|
||||
base_learning_rate: 7.5e-05
|
||||
target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false # Note: different from the one we trained before
|
||||
conditioning_key: hybrid # important
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
finetune_keys: null
|
||||
|
||||
scheduler_config: # 10000 warmup steps
|
||||
target: ldm.lr_scheduler.LambdaLinearScheduler
|
||||
params:
|
||||
warm_up_steps: [ 2500 ] # NOTE for resuming. use 10000 if starting from scratch
|
||||
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
||||
f_start: [ 1.e-6 ]
|
||||
f_max: [ 1. ]
|
||||
f_min: [ 1. ]
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
image_size: 32 # unused
|
||||
in_channels: 9 # 4 data + 4 downscaled image + 1 mask
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_heads: 8
|
||||
use_spatial_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 768
|
||||
use_checkpoint: True
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
|
||||
|
||||
@@ -0,0 +1,68 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-4
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
parameterization: "v"
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False # we set this to false because this is an inference only config
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_checkpoint: True
|
||||
use_fp16: True
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_head_channels: 64 # need to fix for flash-attn
|
||||
use_spatial_transformer: True
|
||||
use_linear_in_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 1024
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
#attn_type: "vanilla-xformers"
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
|
||||
params:
|
||||
freeze: True
|
||||
layer: "penultimate"
|
||||
@@ -0,0 +1,68 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-4
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
parameterization: "v"
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False # we set this to false because this is an inference only config
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_checkpoint: True
|
||||
use_fp16: False
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_head_channels: 64 # need to fix for flash-attn
|
||||
use_spatial_transformer: True
|
||||
use_linear_in_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 1024
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
#attn_type: "vanilla-xformers"
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
|
||||
params:
|
||||
freeze: True
|
||||
layer: "penultimate"
|
||||
@@ -0,0 +1,67 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-4
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False # we set this to false because this is an inference only config
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_checkpoint: True
|
||||
use_fp16: True
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_head_channels: 64 # need to fix for flash-attn
|
||||
use_spatial_transformer: True
|
||||
use_linear_in_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 1024
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
#attn_type: "vanilla-xformers"
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
|
||||
params:
|
||||
freeze: True
|
||||
layer: "penultimate"
|
||||
@@ -0,0 +1,67 @@
|
||||
model:
|
||||
base_learning_rate: 1.0e-4
|
||||
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false
|
||||
conditioning_key: crossattn
|
||||
monitor: val/loss_simple_ema
|
||||
scale_factor: 0.18215
|
||||
use_ema: False # we set this to false because this is an inference only config
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_checkpoint: True
|
||||
use_fp16: False
|
||||
image_size: 32 # unused
|
||||
in_channels: 4
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_head_channels: 64 # need to fix for flash-attn
|
||||
use_spatial_transformer: True
|
||||
use_linear_in_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 1024
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
#attn_type: "vanilla-xformers"
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: []
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
|
||||
params:
|
||||
freeze: True
|
||||
layer: "penultimate"
|
||||
@@ -0,0 +1,158 @@
|
||||
model:
|
||||
base_learning_rate: 5.0e-05
|
||||
target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
|
||||
params:
|
||||
linear_start: 0.00085
|
||||
linear_end: 0.0120
|
||||
num_timesteps_cond: 1
|
||||
log_every_t: 200
|
||||
timesteps: 1000
|
||||
first_stage_key: "jpg"
|
||||
cond_stage_key: "txt"
|
||||
image_size: 64
|
||||
channels: 4
|
||||
cond_stage_trainable: false
|
||||
conditioning_key: hybrid
|
||||
scale_factor: 0.18215
|
||||
monitor: val/loss_simple_ema
|
||||
finetune_keys: null
|
||||
use_ema: False
|
||||
|
||||
unet_config:
|
||||
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
||||
params:
|
||||
use_checkpoint: True
|
||||
image_size: 32 # unused
|
||||
in_channels: 9
|
||||
out_channels: 4
|
||||
model_channels: 320
|
||||
attention_resolutions: [ 4, 2, 1 ]
|
||||
num_res_blocks: 2
|
||||
channel_mult: [ 1, 2, 4, 4 ]
|
||||
num_head_channels: 64 # need to fix for flash-attn
|
||||
use_spatial_transformer: True
|
||||
use_linear_in_transformer: True
|
||||
transformer_depth: 1
|
||||
context_dim: 1024
|
||||
legacy: False
|
||||
|
||||
first_stage_config:
|
||||
target: ldm.models.autoencoder.AutoencoderKL
|
||||
params:
|
||||
embed_dim: 4
|
||||
monitor: val/rec_loss
|
||||
ddconfig:
|
||||
#attn_type: "vanilla-xformers"
|
||||
double_z: true
|
||||
z_channels: 4
|
||||
resolution: 256
|
||||
in_channels: 3
|
||||
out_ch: 3
|
||||
ch: 128
|
||||
ch_mult:
|
||||
- 1
|
||||
- 2
|
||||
- 4
|
||||
- 4
|
||||
num_res_blocks: 2
|
||||
attn_resolutions: [ ]
|
||||
dropout: 0.0
|
||||
lossconfig:
|
||||
target: torch.nn.Identity
|
||||
|
||||
cond_stage_config:
|
||||
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
|
||||
params:
|
||||
freeze: True
|
||||
layer: "penultimate"
|
||||
|
||||
|
||||
data:
|
||||
target: ldm.data.laion.WebDataModuleFromConfig
|
||||
params:
|
||||
tar_base: null # for concat as in LAION-A
|
||||
p_unsafe_threshold: 0.1
|
||||
filter_word_list: "data/filters.yaml"
|
||||
max_pwatermark: 0.45
|
||||
batch_size: 8
|
||||
num_workers: 6
|
||||
multinode: True
|
||||
min_size: 512
|
||||
train:
|
||||
shards:
|
||||
- "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-0/{00000..18699}.tar -"
|
||||
- "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-1/{00000..18699}.tar -"
|
||||
- "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-2/{00000..18699}.tar -"
|
||||
- "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-3/{00000..18699}.tar -"
|
||||
- "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-4/{00000..18699}.tar -" #{00000-94333}.tar"
|
||||
shuffle: 10000
|
||||
image_key: jpg
|
||||
image_transforms:
|
||||
- target: torchvision.transforms.Resize
|
||||
params:
|
||||
size: 512
|
||||
interpolation: 3
|
||||
- target: torchvision.transforms.RandomCrop
|
||||
params:
|
||||
size: 512
|
||||
postprocess:
|
||||
target: ldm.data.laion.AddMask
|
||||
params:
|
||||
mode: "512train-large"
|
||||
p_drop: 0.25
|
||||
# NOTE use enough shards to avoid empty validation loops in workers
|
||||
validation:
|
||||
shards:
|
||||
- "pipe:aws s3 cp s3://deep-floyd-s3/datasets/laion_cleaned-part5/{93001..94333}.tar - "
|
||||
shuffle: 0
|
||||
image_key: jpg
|
||||
image_transforms:
|
||||
- target: torchvision.transforms.Resize
|
||||
params:
|
||||
size: 512
|
||||
interpolation: 3
|
||||
- target: torchvision.transforms.CenterCrop
|
||||
params:
|
||||
size: 512
|
||||
postprocess:
|
||||
target: ldm.data.laion.AddMask
|
||||
params:
|
||||
mode: "512train-large"
|
||||
p_drop: 0.25
|
||||
|
||||
lightning:
|
||||
find_unused_parameters: True
|
||||
modelcheckpoint:
|
||||
params:
|
||||
every_n_train_steps: 5000
|
||||
|
||||
callbacks:
|
||||
metrics_over_trainsteps_checkpoint:
|
||||
params:
|
||||
every_n_train_steps: 10000
|
||||
|
||||
image_logger:
|
||||
target: main.ImageLogger
|
||||
params:
|
||||
enable_autocast: False
|
||||
disabled: False
|
||||
batch_frequency: 1000
|
||||
max_images: 4
|
||||
increase_log_steps: False
|
||||
log_first_step: False
|
||||
log_images_kwargs:
|
||||
use_ema_scope: False
|
||||
inpaint: False
|
||||
plot_progressive_rows: False
|
||||
plot_diffusion_rows: False
|
||||
N: 4
|
||||
unconditional_guidance_scale: 5.0
|
||||
unconditional_guidance_label: [""]
|
||||
ddim_steps: 50 # todo check these out for depth2img,
|
||||
ddim_eta: 0.0 # todo check these out for depth2img,
|
||||
|
||||
trainer:
|
||||
benchmark: True
|
||||
val_check_interval: 5000000
|
||||
num_sanity_val_steps: 0
|
||||
accumulate_grad_batches: 1
|
||||
@@ -0,0 +1,40 @@
|
||||
{
|
||||
"_name_or_path": "gpt2",
|
||||
"activation_function": "gelu_new",
|
||||
"architectures": [
|
||||
"GPT2LMHeadModel"
|
||||
],
|
||||
"attn_pdrop": 0.1,
|
||||
"bos_token_id": 50256,
|
||||
"embd_pdrop": 0.1,
|
||||
"eos_token_id": 50256,
|
||||
"pad_token_id": 50256,
|
||||
"initializer_range": 0.02,
|
||||
"layer_norm_epsilon": 1e-05,
|
||||
"model_type": "gpt2",
|
||||
"n_ctx": 1024,
|
||||
"n_embd": 768,
|
||||
"n_head": 12,
|
||||
"n_inner": null,
|
||||
"n_layer": 12,
|
||||
"n_positions": 1024,
|
||||
"reorder_and_upcast_attn": false,
|
||||
"resid_pdrop": 0.1,
|
||||
"scale_attn_by_inverse_layer_idx": false,
|
||||
"scale_attn_weights": true,
|
||||
"summary_activation": null,
|
||||
"summary_first_dropout": 0.1,
|
||||
"summary_proj_to_labels": true,
|
||||
"summary_type": "cls_index",
|
||||
"summary_use_proj": true,
|
||||
"task_specific_params": {
|
||||
"text-generation": {
|
||||
"do_sample": true,
|
||||
"max_length": 50
|
||||
}
|
||||
},
|
||||
"torch_dtype": "float32",
|
||||
"transformers_version": "4.23.0.dev0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 50257
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,642 @@
|
||||
abundant
|
||||
accelerated
|
||||
accepted
|
||||
accepting
|
||||
acclaimed
|
||||
accomplished
|
||||
acknowledged
|
||||
activated
|
||||
adapted
|
||||
adjusted
|
||||
admirable
|
||||
adorable
|
||||
adorned
|
||||
advanced
|
||||
adventurous
|
||||
advocated
|
||||
aesthetic
|
||||
affirmed
|
||||
affluent
|
||||
agile
|
||||
aimed
|
||||
aligned
|
||||
alive
|
||||
altered
|
||||
amazing
|
||||
ambient
|
||||
amplified
|
||||
analytical
|
||||
animated
|
||||
appealing
|
||||
applauded
|
||||
appreciated
|
||||
ardent
|
||||
aromatic
|
||||
arranged
|
||||
arresting
|
||||
articulate
|
||||
artistic
|
||||
associated
|
||||
assured
|
||||
astonishing
|
||||
astounding
|
||||
atmosphere
|
||||
attempted
|
||||
attentive
|
||||
attractive
|
||||
authentic
|
||||
authoritative
|
||||
awarded
|
||||
awesome
|
||||
backed
|
||||
background
|
||||
baked
|
||||
balance
|
||||
balanced
|
||||
balancing
|
||||
beaten
|
||||
beautiful
|
||||
beloved
|
||||
beneficial
|
||||
benevolent
|
||||
best
|
||||
bestowed
|
||||
blazing
|
||||
blended
|
||||
blessed
|
||||
boosted
|
||||
borne
|
||||
brave
|
||||
breathtaking
|
||||
brewed
|
||||
bright
|
||||
brilliant
|
||||
brought
|
||||
built
|
||||
burning
|
||||
calm
|
||||
calmed
|
||||
candid
|
||||
caring
|
||||
carried
|
||||
catchy
|
||||
celebrated
|
||||
celestial
|
||||
certain
|
||||
championed
|
||||
changed
|
||||
charismatic
|
||||
charming
|
||||
chased
|
||||
cheered
|
||||
cheerful
|
||||
cherished
|
||||
chic
|
||||
chosen
|
||||
cinematic
|
||||
clad
|
||||
classic
|
||||
classy
|
||||
clear
|
||||
coached
|
||||
coherent
|
||||
collected
|
||||
color
|
||||
colorful
|
||||
colors
|
||||
colossal
|
||||
combined
|
||||
comforting
|
||||
commanding
|
||||
committed
|
||||
compassionate
|
||||
compatible
|
||||
complete
|
||||
complex
|
||||
complimentary
|
||||
composed
|
||||
composition
|
||||
comprehensive
|
||||
conceived
|
||||
conferred
|
||||
confident
|
||||
connected
|
||||
considerable
|
||||
considered
|
||||
consistent
|
||||
conspicuous
|
||||
constructed
|
||||
constructive
|
||||
contemplated
|
||||
contemporary
|
||||
content
|
||||
contrasted
|
||||
conveyed
|
||||
cooked
|
||||
cool
|
||||
coordinated
|
||||
coupled
|
||||
courageous
|
||||
coveted
|
||||
cozy
|
||||
created
|
||||
creative
|
||||
credited
|
||||
crisp
|
||||
critical
|
||||
cultivated
|
||||
cured
|
||||
curious
|
||||
current
|
||||
customized
|
||||
cute
|
||||
daring
|
||||
darling
|
||||
dazzling
|
||||
decorated
|
||||
decorative
|
||||
dedicated
|
||||
deep
|
||||
defended
|
||||
definitive
|
||||
delicate
|
||||
delightful
|
||||
delivered
|
||||
depicted
|
||||
designed
|
||||
desirable
|
||||
desired
|
||||
destined
|
||||
detail
|
||||
detailed
|
||||
determined
|
||||
developed
|
||||
devoted
|
||||
devout
|
||||
diligent
|
||||
direct
|
||||
directed
|
||||
discovered
|
||||
dispatched
|
||||
displayed
|
||||
distilled
|
||||
distinct
|
||||
distinctive
|
||||
distinguished
|
||||
diverse
|
||||
divine
|
||||
dramatic
|
||||
draped
|
||||
dreamed
|
||||
driven
|
||||
dynamic
|
||||
earnest
|
||||
eased
|
||||
ecstatic
|
||||
educated
|
||||
effective
|
||||
elaborate
|
||||
elegant
|
||||
elevated
|
||||
elite
|
||||
eminent
|
||||
emotional
|
||||
empowered
|
||||
empowering
|
||||
enchanted
|
||||
encouraged
|
||||
endorsed
|
||||
endowed
|
||||
enduring
|
||||
energetic
|
||||
engaging
|
||||
enhanced
|
||||
enigmatic
|
||||
enlightened
|
||||
enormous
|
||||
enticing
|
||||
envisioned
|
||||
epic
|
||||
esteemed
|
||||
eternal
|
||||
everlasting
|
||||
evolved
|
||||
exalted
|
||||
examining
|
||||
excellent
|
||||
exceptional
|
||||
exciting
|
||||
exclusive
|
||||
exemplary
|
||||
exotic
|
||||
expansive
|
||||
exposed
|
||||
expressive
|
||||
exquisite
|
||||
extended
|
||||
extraordinary
|
||||
extremely
|
||||
fabulous
|
||||
facilitated
|
||||
fair
|
||||
faithful
|
||||
famous
|
||||
fancy
|
||||
fantastic
|
||||
fascinating
|
||||
fashionable
|
||||
fashioned
|
||||
favorable
|
||||
favored
|
||||
fearless
|
||||
fermented
|
||||
fertile
|
||||
festive
|
||||
fiery
|
||||
fine
|
||||
finest
|
||||
firm
|
||||
fixed
|
||||
flaming
|
||||
flashing
|
||||
flashy
|
||||
flavored
|
||||
flawless
|
||||
flourishing
|
||||
flowing
|
||||
focus
|
||||
focused
|
||||
formal
|
||||
formed
|
||||
fortunate
|
||||
fostering
|
||||
frank
|
||||
fresh
|
||||
fried
|
||||
friendly
|
||||
fruitful
|
||||
fulfilled
|
||||
full
|
||||
futuristic
|
||||
generous
|
||||
gentle
|
||||
genuine
|
||||
gifted
|
||||
gigantic
|
||||
glamorous
|
||||
glorious
|
||||
glossy
|
||||
glowing
|
||||
gorgeous
|
||||
graceful
|
||||
gracious
|
||||
grand
|
||||
granted
|
||||
grateful
|
||||
great
|
||||
grilled
|
||||
grounded
|
||||
grown
|
||||
guarded
|
||||
guided
|
||||
hailed
|
||||
handsome
|
||||
healing
|
||||
healthy
|
||||
heartfelt
|
||||
heavenly
|
||||
heroic
|
||||
highly
|
||||
historic
|
||||
holistic
|
||||
holy
|
||||
honest
|
||||
honored
|
||||
hoped
|
||||
hopeful
|
||||
iconic
|
||||
ideal
|
||||
illuminated
|
||||
illuminating
|
||||
illumination
|
||||
illustrious
|
||||
imaginative
|
||||
imagined
|
||||
immense
|
||||
immortal
|
||||
imposing
|
||||
impressive
|
||||
improved
|
||||
incredible
|
||||
infinite
|
||||
informed
|
||||
ingenious
|
||||
innocent
|
||||
innovative
|
||||
insightful
|
||||
inspirational
|
||||
inspired
|
||||
inspiring
|
||||
instructed
|
||||
integrated
|
||||
intense
|
||||
intricate
|
||||
intriguing
|
||||
invaluable
|
||||
invented
|
||||
investigative
|
||||
invincible
|
||||
inviting
|
||||
irresistible
|
||||
joined
|
||||
joyful
|
||||
keen
|
||||
kindly
|
||||
kinetic
|
||||
knockout
|
||||
laced
|
||||
lasting
|
||||
lauded
|
||||
lavish
|
||||
legendary
|
||||
lifted
|
||||
light
|
||||
limited
|
||||
linked
|
||||
lively
|
||||
located
|
||||
logical
|
||||
loved
|
||||
lovely
|
||||
loving
|
||||
loyal
|
||||
lucid
|
||||
lucky
|
||||
lush
|
||||
luxurious
|
||||
luxury
|
||||
magic
|
||||
magical
|
||||
magnificent
|
||||
majestic
|
||||
marked
|
||||
marvelous
|
||||
massive
|
||||
matched
|
||||
matured
|
||||
meaningful
|
||||
memorable
|
||||
merged
|
||||
merry
|
||||
meticulous
|
||||
mindful
|
||||
miraculous
|
||||
modern
|
||||
modified
|
||||
monstrous
|
||||
monumental
|
||||
motivated
|
||||
motivational
|
||||
moved
|
||||
moving
|
||||
mystical
|
||||
mythical
|
||||
naive
|
||||
neat
|
||||
new
|
||||
nice
|
||||
nifty
|
||||
noble
|
||||
notable
|
||||
noteworthy
|
||||
novel
|
||||
nuanced
|
||||
offered
|
||||
open
|
||||
optimal
|
||||
optimistic
|
||||
orderly
|
||||
organized
|
||||
original
|
||||
originated
|
||||
outstanding
|
||||
overwhelming
|
||||
paired
|
||||
palpable
|
||||
passionate
|
||||
peaceful
|
||||
perfect
|
||||
perfected
|
||||
perpetual
|
||||
persistent
|
||||
phenomenal
|
||||
pious
|
||||
pivotal
|
||||
placed
|
||||
planned
|
||||
pleasant
|
||||
pleased
|
||||
pleasing
|
||||
plentiful
|
||||
plotted
|
||||
plush
|
||||
poetic
|
||||
poignant
|
||||
polished
|
||||
positive
|
||||
praised
|
||||
precious
|
||||
precise
|
||||
premier
|
||||
premium
|
||||
presented
|
||||
preserved
|
||||
prestigious
|
||||
pretty
|
||||
priceless
|
||||
prime
|
||||
pristine
|
||||
probing
|
||||
productive
|
||||
professional
|
||||
profound
|
||||
progressed
|
||||
progressive
|
||||
prominent
|
||||
promoted
|
||||
pronounced
|
||||
propelled
|
||||
proportional
|
||||
prosperous
|
||||
protected
|
||||
provided
|
||||
provocative
|
||||
pure
|
||||
pursued
|
||||
pushed
|
||||
quaint
|
||||
quality
|
||||
questioning
|
||||
quiet
|
||||
radiant
|
||||
rare
|
||||
rational
|
||||
real
|
||||
reborn
|
||||
reclaimed
|
||||
recognized
|
||||
recovered
|
||||
refined
|
||||
reflected
|
||||
refreshed
|
||||
refreshing
|
||||
related
|
||||
relaxed
|
||||
relentless
|
||||
reliable
|
||||
relieved
|
||||
remarkable
|
||||
renewed
|
||||
renowned
|
||||
representative
|
||||
rescued
|
||||
resilient
|
||||
respected
|
||||
respectful
|
||||
restored
|
||||
retrieved
|
||||
revealed
|
||||
revealing
|
||||
revered
|
||||
revived
|
||||
rewarded
|
||||
rich
|
||||
roasted
|
||||
robust
|
||||
romantic
|
||||
royal
|
||||
sacred
|
||||
salient
|
||||
satisfied
|
||||
satisfying
|
||||
saturated
|
||||
saved
|
||||
scenic
|
||||
scientific
|
||||
select
|
||||
sensational
|
||||
serious
|
||||
set
|
||||
shaped
|
||||
sharp
|
||||
shielded
|
||||
shining
|
||||
shiny
|
||||
shown
|
||||
significant
|
||||
silent
|
||||
sincere
|
||||
singular
|
||||
situated
|
||||
sleek
|
||||
slick
|
||||
smart
|
||||
snug
|
||||
solemn
|
||||
solid
|
||||
soothing
|
||||
sophisticated
|
||||
sought
|
||||
sparkling
|
||||
special
|
||||
spectacular
|
||||
sped
|
||||
spirited
|
||||
spiritual
|
||||
splendid
|
||||
spread
|
||||
stable
|
||||
steady
|
||||
still
|
||||
stimulated
|
||||
stimulating
|
||||
stirred
|
||||
straightforward
|
||||
striking
|
||||
strong
|
||||
structured
|
||||
stunning
|
||||
sturdy
|
||||
stylish
|
||||
sublime
|
||||
successful
|
||||
sunny
|
||||
superb
|
||||
superior
|
||||
supplied
|
||||
supported
|
||||
supportive
|
||||
supreme
|
||||
sure
|
||||
surreal
|
||||
sweet
|
||||
symbolic
|
||||
symmetry
|
||||
synchronized
|
||||
systematic
|
||||
tailored
|
||||
taking
|
||||
targeted
|
||||
taught
|
||||
tempting
|
||||
tender
|
||||
terrific
|
||||
thankful
|
||||
theatrical
|
||||
thought
|
||||
thoughtful
|
||||
thrilled
|
||||
thrilling
|
||||
thriving
|
||||
tidy
|
||||
timeless
|
||||
touching
|
||||
tough
|
||||
trained
|
||||
tranquil
|
||||
transformed
|
||||
translucent
|
||||
transparent
|
||||
transported
|
||||
tremendous
|
||||
trendy
|
||||
tried
|
||||
trim
|
||||
true
|
||||
trustworthy
|
||||
unbelievable
|
||||
unconditional
|
||||
uncovered
|
||||
unified
|
||||
unique
|
||||
united
|
||||
universal
|
||||
unmatched
|
||||
unparalleled
|
||||
upheld
|
||||
valiant
|
||||
valued
|
||||
varied
|
||||
very
|
||||
vibrant
|
||||
virtuous
|
||||
vivid
|
||||
warm
|
||||
wealthy
|
||||
whole
|
||||
winning
|
||||
wished
|
||||
witty
|
||||
wonderful
|
||||
worshipped
|
||||
worthy
|
||||
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 1024,
|
||||
"name_or_path": "gpt2",
|
||||
"special_tokens_map_file": null,
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user