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mrq 2023-02-21 22:13:30 +00:00
parent 9e64dad785
commit fefc7aba03
2 changed files with 11 additions and 3 deletions
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12
src/utils.py
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@ -153,7 +153,10 @@ def generate(
# clamp it down for the insane users who want this # clamp it down for the insane users who want this
# it would be wiser to enforce the sample size to the batch size, but this is what the user wants # it would be wiser to enforce the sample size to the batch size, but this is what the user wants
if num_autoregressive_samples < args.sample_batch_size: sample_batch_size = args.sample_batch_size
if not sample_batch_size:
sample_batch_size = tts.autoregressive_batch_size
if num_autoregressive_samples < sample_batch_size:
settings['sample_batch_size'] = num_autoregressive_samples settings['sample_batch_size'] = num_autoregressive_samples
if delimiter is None: if delimiter is None:
@ -493,7 +496,12 @@ def run_training(config_path, verbose=False, buffer_size=8, progress=gr.Progress
progress(it / float(its), f'[{it}/{its}] {it_rate} Training... {status}') progress(it / float(its), f'[{it}/{its}] {it_rate} Training... {status}')
if line.find('INFO: [epoch:') >= 0: # it also says Start training from epoch, so it might be better to do that
if line.find('INFO: Resuming training from epoch:') >= 0:
match = re.findall(r'iter: ([\d,]+)', line)
if match and len(match) > 0:
it = int(match[0].replace(",", ""))
elif line.find('INFO: [epoch:') >= 0:
# easily rip out our stats... # easily rip out our stats...
match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line) match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line)
if match and len(match) > 0: if match and len(match) > 0:

2
src/webui.py
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@ -288,7 +288,7 @@ def setup_gradio():
seed = gr.Number(value=0, precision=0, label="Seed") seed = gr.Number(value=0, precision=0, label="Seed")
preset = gr.Radio( ["Ultra Fast", "Fast", "Standard", "High Quality"], label="Preset", type="value" ) preset = gr.Radio( ["Ultra Fast", "Fast", "Standard", "High Quality"], label="Preset", type="value" )
num_autoregressive_samples = gr.Slider(value=128, minimum=0, maximum=512, step=1, label="Samples") num_autoregressive_samples = gr.Slider(value=128, minimum=2, maximum=512, step=1, label="Samples")
diffusion_iterations = gr.Slider(value=128, minimum=0, maximum=512, step=1, label="Iterations") diffusion_iterations = gr.Slider(value=128, minimum=0, maximum=512, step=1, label="Iterations")
temperature = gr.Slider(value=0.2, minimum=0, maximum=1, step=0.1, label="Temperature") temperature = gr.Slider(value=0.2, minimum=0, maximum=1, step=0.1, label="Temperature")