69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
from __future__ import annotations
|
|
|
|
import logging
|
|
import time
|
|
|
|
import modal
|
|
from domain import OutputDirectory, Prompts, Seed, StableDiffusionOutputManger
|
|
from infrasctucture import new_txt2img
|
|
|
|
|
|
@modal.App("run-stable-diffusion-cli").local_entrypoint()
|
|
def main(
|
|
version: str,
|
|
prompt: str,
|
|
n_prompt: str,
|
|
height: int = 1024,
|
|
width: int = 1024,
|
|
samples: int = 5,
|
|
steps: int = 20,
|
|
seed: int = -1,
|
|
use_upscaler: str = "False",
|
|
fix_by_controlnet_tile: str = "True",
|
|
output_format: str = "png",
|
|
) -> None:
|
|
"""This function is the entrypoint for the Runway CLI.
|
|
The function pass the given prompt to StableDiffusion on Modal,
|
|
gets back a list of images and outputs images to local.
|
|
"""
|
|
logging.basicConfig(
|
|
level=logging.INFO,
|
|
format="[%(levelname)s] %(asctime)s - %(message)s",
|
|
datefmt="%Y-%m-%d %H:%M:%S",
|
|
)
|
|
logger = logging.getLogger("run-stable-diffusion-cli")
|
|
|
|
output_directory = OutputDirectory()
|
|
directory_path = output_directory.make_directory()
|
|
logger.info("Made a directory: %s", directory_path)
|
|
|
|
prompts = Prompts(prompt, n_prompt, height, width, samples, steps)
|
|
sd_output_manager = StableDiffusionOutputManger(prompts, directory_path)
|
|
|
|
txt2img = new_txt2img(
|
|
version,
|
|
prompts,
|
|
output_format,
|
|
use_upscaler=use_upscaler == "True",
|
|
fix_by_controlnet_tile=fix_by_controlnet_tile == "True",
|
|
)
|
|
|
|
for sample_index in range(samples):
|
|
start_time = time.time()
|
|
new_seed = Seed(seed)
|
|
images = txt2img.run_inference(new_seed)
|
|
for generated_image_index, image_bytes in enumerate(images):
|
|
saved_path = sd_output_manager.save_image(
|
|
image_bytes,
|
|
new_seed.value,
|
|
sample_index,
|
|
generated_image_index,
|
|
output_format,
|
|
)
|
|
logger.info("Saved image to the: %s", saved_path)
|
|
total_time = time.time() - start_time
|
|
logger.info("Sample %s, took %ss (%ss / image).", sample_index, total_time, (total_time) / len(images))
|
|
|
|
saved_prompts_path = sd_output_manager.save_prompts()
|
|
logger.info("Saved prompts: %s", saved_prompts_path)
|