mirror of https://github.com/bmaltais/kohya_ss
153 lines
5.0 KiB
Python
153 lines
5.0 KiB
Python
import os
|
|
import gradio as gr
|
|
import shlex
|
|
|
|
from .custom_logging import setup_logging
|
|
from .class_gui_config import KohyaSSGUIConfig
|
|
|
|
# Set up logging
|
|
log = setup_logging()
|
|
|
|
folder_symbol = "\U0001f4c2" # 📂
|
|
refresh_symbol = "\U0001f504" # 🔄
|
|
save_style_symbol = "\U0001f4be" # 💾
|
|
document_symbol = "\U0001F4C4" # 📄
|
|
|
|
|
|
###
|
|
### Gradio common sampler GUI section
|
|
###
|
|
|
|
|
|
def run_cmd_sample(
|
|
run_cmd: list,
|
|
sample_every_n_steps,
|
|
sample_every_n_epochs,
|
|
sample_sampler,
|
|
sample_prompts,
|
|
output_dir,
|
|
):
|
|
"""
|
|
Generates a command string for sampling images during training.
|
|
|
|
Args:
|
|
sample_every_n_steps (int): The number of steps after which to sample images.
|
|
sample_every_n_epochs (int): The number of epochs after which to sample images.
|
|
sample_sampler (str): The sampler to use for image sampling.
|
|
sample_prompts (str): The prompts to use for image sampling.
|
|
output_dir (str): The directory where the output images will be saved.
|
|
|
|
Returns:
|
|
str: The command string for sampling images.
|
|
"""
|
|
output_dir = os.path.join(output_dir, "sample")
|
|
os.makedirs(output_dir, exist_ok=True)
|
|
|
|
if sample_every_n_epochs is None:
|
|
sample_every_n_epochs = 0
|
|
|
|
if sample_every_n_steps is None:
|
|
sample_every_n_steps = 0
|
|
|
|
if sample_every_n_epochs == sample_every_n_steps == 0:
|
|
return run_cmd
|
|
|
|
# Create the prompt file and get its path
|
|
sample_prompts_path = os.path.join(output_dir, "prompt.txt")
|
|
|
|
with open(sample_prompts_path, "w") as f:
|
|
f.write(sample_prompts)
|
|
|
|
# Append the sampler with proper quoting for safety against special characters
|
|
run_cmd.append("--sample_sampler")
|
|
run_cmd.append(shlex.quote(sample_sampler))
|
|
|
|
# Normalize and fix the path for the sample prompts, handle cross-platform path differences
|
|
sample_prompts_path = os.path.abspath(os.path.normpath(sample_prompts_path))
|
|
if os.name == "nt": # Normalize path for Windows
|
|
sample_prompts_path = sample_prompts_path.replace("\\", "/")
|
|
|
|
# Append the sample prompts path
|
|
run_cmd.append('--sample_prompts')
|
|
run_cmd.append(sample_prompts_path)
|
|
|
|
# Append the sampling frequency for epochs, only if non-zero
|
|
if sample_every_n_epochs != 0:
|
|
run_cmd.append("--sample_every_n_epochs")
|
|
run_cmd.append(str(sample_every_n_epochs))
|
|
|
|
# Append the sampling frequency for steps, only if non-zero
|
|
if sample_every_n_steps != 0:
|
|
run_cmd.append("--sample_every_n_steps")
|
|
run_cmd.append(str(sample_every_n_steps))
|
|
|
|
return run_cmd
|
|
|
|
|
|
|
|
class SampleImages:
|
|
"""
|
|
A class for managing the Gradio interface for sampling images during training.
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
config: KohyaSSGUIConfig = {},
|
|
):
|
|
"""
|
|
Initializes the SampleImages class.
|
|
"""
|
|
self.config = config
|
|
|
|
self.initialize_accordion()
|
|
|
|
def initialize_accordion(self):
|
|
"""
|
|
Initializes the accordion for the Gradio interface.
|
|
"""
|
|
with gr.Row():
|
|
self.sample_every_n_steps = gr.Number(
|
|
label="Sample every n steps",
|
|
value=self.config.get("samples.sample_every_n_steps", 0),
|
|
precision=0,
|
|
interactive=True,
|
|
)
|
|
self.sample_every_n_epochs = gr.Number(
|
|
label="Sample every n epochs",
|
|
value=self.config.get("samples.sample_every_n_epochs", 0),
|
|
precision=0,
|
|
interactive=True,
|
|
)
|
|
self.sample_sampler = gr.Dropdown(
|
|
label="Sample sampler",
|
|
choices=[
|
|
"ddim",
|
|
"pndm",
|
|
"lms",
|
|
"euler",
|
|
"euler_a",
|
|
"heun",
|
|
"dpm_2",
|
|
"dpm_2_a",
|
|
"dpmsolver",
|
|
"dpmsolver++",
|
|
"dpmsingle",
|
|
"k_lms",
|
|
"k_euler",
|
|
"k_euler_a",
|
|
"k_dpm_2",
|
|
"k_dpm_2_a",
|
|
],
|
|
value=self.config.get("samples.sample_sampler", "euler_a"),
|
|
interactive=True,
|
|
)
|
|
with gr.Row():
|
|
self.sample_prompts = gr.Textbox(
|
|
lines=5,
|
|
label="Sample prompts",
|
|
interactive=True,
|
|
placeholder="masterpiece, best quality, 1girl, in white shirts, upper body, looking at viewer, simple background --n low quality, worst quality, bad anatomy,bad composition, poor, low effort --w 768 --h 768 --d 1 --l 7.5 --s 28",
|
|
info="Enter one sample prompt per line to generate multiple samples per cycle. Optional specifiers include: --w (width), --h (height), --d (seed), --l (cfg scale), --s (sampler steps) and --n (negative prompt). To modify sample prompts during training, edit the prompt.txt file in the samples directory.",
|
|
value=self.config.get("samples.sample_prompts", ""),
|
|
)
|