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78
configs/scheduled-remote/finetune-color-palette-schedule-mlp.toml
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script = "finetune-ldm-color-palette.py" # not used for now | ||
[wandb] | ||
mode = "online" # "online", "offline", "disabled" | ||
entity = "piercus" | ||
project = "color-palette" | ||
name = "mlp" | ||
tags = ["remote", "l4"] | ||
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[models] | ||
unet = {checkpoint = "tests/weights/stable-diffusion-1-5/unet.safetensors", train = false, gpu_index = 0} | ||
text_encoder = {checkpoint = "tests/weights/stable-diffusion-1-5/CLIPTextEncoderL.safetensors", train = false, gpu_index = 0} | ||
lda = {checkpoint = "tests/weights/stable-diffusion-1-5/lda.safetensors", train = false, gpu_index = 0} | ||
color_palette_encoder = {train = true, gpu_index = 0} | ||
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[adapters] | ||
color_palette_adapter = {} | ||
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[latent_diffusion] | ||
unconditional_sampling_probability = 0.1 | ||
offset_noise = 0.2 | ||
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[color_palette] | ||
max_colors = 8 | ||
feedforward_dim = 20 | ||
num_layers = 2 | ||
mode='mlp' | ||
embedding_dim = 10 | ||
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[training] | ||
duration = "2:epoch" | ||
seed = 0 | ||
gpu_index = 0 | ||
batch_size = 10 | ||
gradient_accumulation = "1:step" | ||
clip_grad_norm = 1.0 | ||
# clip_grad_value = 1.0 | ||
evaluation_interval = "250:step" | ||
evaluation_seed = 1 | ||
num_workers = 8 | ||
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[optimizer] | ||
optimizer = "AdamW" # "SGD", "Adam", "AdamW", "AdamW8bit", "Lion8bit" | ||
learning_rate = 1e-4 | ||
betas = [0.9, 0.999] | ||
eps = 1e-8 | ||
weight_decay = 1e-2 | ||
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[scheduler] | ||
scheduler_type = "ConstantLR" | ||
update_interval = "1:step" | ||
warmup = "250:step" | ||
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[dropout] | ||
dropout_probability = 0.0 | ||
use_gyro_dropout = false | ||
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[dataset] | ||
hf_repo = "1aurent/unsplash-lite-palette" | ||
revision = "main" | ||
resize_image_max_size = 512 | ||
caption_key = "ai_description" | ||
split = "train" | ||
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[checkpointing] | ||
save_interval = "2:epoch" | ||
use_wandb = true | ||
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[test_color_palette] | ||
num_inference_steps = 30 | ||
use_short_prompts = false | ||
prompts = [ | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255], [255,255,255], [255,0,0]]}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0], [255,255,255], [0,0,255]]} | ||
] | ||
num_palette_sample = 8 | ||
condition_scale = 7.5 |
76 changes: 76 additions & 0 deletions
76
configs/scheduled-remote/finetune-color-palette-schedule-no-layer-lda.toml
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script = "finetune-ldm-color-palette.py" # not used for now | ||
[wandb] | ||
mode = "online" # "online", "offline", "disabled" | ||
entity = "piercus" | ||
project = "color-palette" | ||
name = "no-layer-lda-l4" | ||
tags = ["remote", "l4"] | ||
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||
[models] | ||
unet = {checkpoint = "tests/weights/stable-diffusion-1-5/unet.safetensors", train = false, gpu_index = 0} | ||
text_encoder = {checkpoint = "tests/weights/stable-diffusion-1-5/CLIPTextEncoderL.safetensors", train = false, gpu_index = 0} | ||
lda = {checkpoint = "tests/weights/stable-diffusion-1-5/lda.safetensors", train = false, gpu_index = 0} | ||
color_palette_encoder = {train = true, gpu_index = 0} | ||
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||
[adapters] | ||
color_palette_adapter = {} | ||
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||
[latent_diffusion] | ||
unconditional_sampling_probability = 0.1 | ||
offset_noise = 0.2 | ||
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||
[color_palette] | ||
max_colors = 8 | ||
num_layers = 0 | ||
use_lda = true | ||
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||
[training] | ||
duration = "2:epoch" | ||
seed = 0 | ||
gpu_index = 0 | ||
batch_size = 10 | ||
gradient_accumulation = "1:step" | ||
clip_grad_norm = 1.0 | ||
# clip_grad_value = 1.0 | ||
evaluation_interval = "250:step" | ||
evaluation_seed = 1 | ||
num_workers = 8 | ||
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||
[optimizer] | ||
optimizer = "AdamW" # "SGD", "Adam", "AdamW", "AdamW8bit", "Lion8bit" | ||
learning_rate = 1e-4 | ||
betas = [0.9, 0.999] | ||
eps = 1e-8 | ||
weight_decay = 1e-2 | ||
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||
[scheduler] | ||
scheduler_type = "ConstantLR" | ||
update_interval = "1:step" | ||
warmup = "250:step" | ||
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||
[dropout] | ||
dropout_probability = 0.0 | ||
use_gyro_dropout = false | ||
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||
[dataset] | ||
hf_repo = "1aurent/unsplash-lite-palette" | ||
revision = "main" | ||
resize_image_max_size = 512 | ||
caption_key = "ai_description" | ||
split = "train" | ||
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||
[checkpointing] | ||
save_interval = "1:epoch" | ||
use_wandb = true | ||
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||
[test_color_palette] | ||
num_inference_steps = 30 | ||
use_short_prompts = false | ||
prompts = [ | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255], [255,255,255], [255,0,0]]}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0], [255,255,255], [0,0,255]]} | ||
] | ||
num_palette_sample = 8 | ||
condition_scale = 7.5 |
76 changes: 76 additions & 0 deletions
76
configs/scheduled-remote/finetune-color-palette-schedule-no-layer.toml
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@@ -0,0 +1,76 @@ | ||
script = "finetune-ldm-color-palette.py" # not used for now | ||
[wandb] | ||
mode = "online" # "online", "offline", "disabled" | ||
entity = "piercus" | ||
project = "color-palette" | ||
name = "no-layer-l4" | ||
tags = ["remote", "l4"] | ||
|
||
[models] | ||
unet = {checkpoint = "tests/weights/stable-diffusion-1-5/unet.safetensors", train = false, gpu_index = 0} | ||
text_encoder = {checkpoint = "tests/weights/stable-diffusion-1-5/CLIPTextEncoderL.safetensors", train = false, gpu_index = 0} | ||
lda = {checkpoint = "tests/weights/stable-diffusion-1-5/lda.safetensors", train = false, gpu_index = 0} | ||
color_palette_encoder = {train = true, gpu_index = 0} | ||
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||
[adapters] | ||
color_palette_adapter = {} | ||
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||
[latent_diffusion] | ||
unconditional_sampling_probability = 0.1 | ||
offset_noise = 0.2 | ||
|
||
[color_palette] | ||
max_colors = 8 | ||
num_layers = 0 | ||
use_lda = false | ||
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||
[training] | ||
duration = "2:epoch" | ||
seed = 0 | ||
gpu_index = 0 | ||
batch_size = 10 | ||
gradient_accumulation = "1:step" | ||
clip_grad_norm = 1.0 | ||
# clip_grad_value = 1.0 | ||
evaluation_interval = "250:step" | ||
evaluation_seed = 1 | ||
num_workers = 8 | ||
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||
[optimizer] | ||
optimizer = "AdamW" # "SGD", "Adam", "AdamW", "AdamW8bit", "Lion8bit" | ||
learning_rate = 1e-4 | ||
betas = [0.9, 0.999] | ||
eps = 1e-8 | ||
weight_decay = 1e-2 | ||
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||
[scheduler] | ||
scheduler_type = "ConstantLR" | ||
update_interval = "1:step" | ||
warmup = "250:step" | ||
|
||
[dropout] | ||
dropout_probability = 0.0 | ||
use_gyro_dropout = false | ||
|
||
[dataset] | ||
hf_repo = "1aurent/unsplash-lite-palette" | ||
revision = "main" | ||
resize_image_max_size = 512 | ||
caption_key = "ai_description" | ||
split = "train" | ||
|
||
[checkpointing] | ||
save_interval = "2:epoch" | ||
use_wandb = true | ||
|
||
[test_color_palette] | ||
num_inference_steps = 30 | ||
use_short_prompts = false | ||
prompts = [ | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0]], seed=1}, | ||
{"text" = "a cute cat", "color_palette" = [[0,0,255], [255,255,255], [255,0,0]]}, | ||
{"text" = "a cute cat", "color_palette" = [[255,0,0], [255,255,255], [0,0,255]]} | ||
] | ||
num_palette_sample = 8 | ||
condition_scale = 7.5 |
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