mirror of
https://github.com/Stability-AI/stablediffusion.git
synced 2024-12-22 15:44:58 +00:00
Keep the v1-inference.yaml file, to be able to load SD1 models
This commit is contained in:
parent
d55bcd4d31
commit
a5cf35a98e
1 changed files with 70 additions and 0 deletions
70
configs/stable-diffusion/v1-inference.yaml
Normal file
70
configs/stable-diffusion/v1-inference.yaml
Normal file
|
@ -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
|
Loading…
Reference in a new issue