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stable-diffusion-webui
Commits
ee3f5ea3
Commit
ee3f5ea3
authored
Nov 29, 2022
by
zhaohu xing
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delete old config file
Signed-off-by:
zhaohu xing
<
920232796@qq.com
>
parent
75c4511e
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v1-inference.yaml
configs/stable-diffusion/v1-inference.yaml
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configs/stable-diffusion/v1-inference.yaml
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75c4511e
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
target
:
altclip.model.AltCLIPEmbedder
\ No newline at end of file
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