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test_txt2img.py
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79 lines (60 loc) · 2.16 KB
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import os
from PIL import Image, PngImagePlugin
from conftest import OUTPUT_DIR
from stable_diffusion_cpp import StableDiffusion
MODEL_PATH = "F:\\stable-diffusion\\catCitronAnimeTreasure_v10.safetensors"
LORA_DIR = "F:\\stable-diffusion\\loras"
PROMPTS = [
{"add": "_lora", "prompt": "a cute cat glass statue <lora:glass_statue_v1:1>"}, # With LORA
{"add": "", "prompt": "a cute cat glass statue"}, # Without LORA
]
STEPS = 20
PREVIEW_OUTPUT_DIR = f"{OUTPUT_DIR}/preview"
if not os.path.exists(PREVIEW_OUTPUT_DIR):
os.makedirs(PREVIEW_OUTPUT_DIR)
def test_txt2img():
stable_diffusion = StableDiffusion(
model_path=MODEL_PATH,
lora_model_dir=LORA_DIR,
)
def progress_callback(step: int, steps: int, time: float):
print("Completed step: {} of {}".format(step, steps))
def preview_callback(step: int, images: list[Image.Image], is_noisy: bool):
images[0].save(f"{PREVIEW_OUTPUT_DIR}/{step}.png")
for prompt in PROMPTS:
# Generate image
image = stable_diffusion.generate_image(
prompt=prompt["prompt"],
sample_steps=STEPS,
progress_callback=progress_callback,
preview_method="proj",
preview_interval=2,
preview_callback=preview_callback,
)[0]
# Save image
pnginfo = PngImagePlugin.PngInfo()
pnginfo.add_text("Parameters", ", ".join([f"{k.replace('_', ' ').title()}: {v}" for k, v in image.info.items()]))
image.save(f"{OUTPUT_DIR}/txt2img{prompt['add']}.png", pnginfo=pnginfo)
# ===========================================
# C++ CLI
# ===========================================
# import subprocess
# from conftest import SD_CPP_CLI
# stable_diffusion = None # Clear model
# for prompt in PROMPTS:
# cli_cmd = [
# SD_CPP_CLI,
# "--model",
# MODEL_PATH,
# "--lora-model-dir",
# LORA_DIR,
# "--prompt",
# prompt["prompt"],
# "--steps",
# str(STEPS),
# "--output",
# f"{OUTPUT_DIR}/txt2img{prompt['add']}_cli.png",
# "-v",
# ]
# print(" ".join(cli_cmd))
# subprocess.run(cli_cmd, check=True)