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test_qwen_image_edit.py
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86 lines (68 loc) · 2.11 KB
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from PIL import PngImagePlugin
from conftest import OUTPUT_DIR
from stable_diffusion_cpp import StableDiffusion
DIFFUSION_MODEL_PATH = "F:\\stable-diffusion\\qwen\\Qwen_Image_Edit-Q2_K.gguf"
VAE_PATH = "F:\\stable-diffusion\\qwen\\qwen_image_vae.safetensors"
LLM_PATH = "F:\\stable-diffusion\\qwen\\Qwen2.5-VL-7B-Instruct.Q4_K_M.gguf"
PROMPT = "put a party hat on the cat"
INPUT_IMAGE_PATHS = ["assets\\input.png"]
STEPS = 10
CFG_SCALE = 2.5
SAMPLE_METHOD = "euler"
FLOW_SHIFT = 3
def test_qwen_image_edit():
stable_diffusion = StableDiffusion(
diffusion_model_path=DIFFUSION_MODEL_PATH,
llm_path=LLM_PATH,
vae_path=VAE_PATH,
offload_params_to_cpu=True,
flow_shift=FLOW_SHIFT,
)
def progress_callback(step: int, steps: int, time: float):
print("Completed step: {} of {}".format(step, steps))
# Generate image
image = stable_diffusion.generate_image(
prompt=PROMPT,
sample_steps=STEPS,
cfg_scale=CFG_SCALE,
ref_images=INPUT_IMAGE_PATHS,
sample_method=SAMPLE_METHOD,
progress_callback=progress_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}/qwen_image_edit.png", pnginfo=pnginfo)
# ===========================================
# C++ CLI
# ===========================================
# import subprocess
# from conftest import SD_CPP_CLI
# stable_diffusion = None # Clear model
# cli_cmd = [
# SD_CPP_CLI,
# "--diffusion-model",
# DIFFUSION_MODEL_PATH,
# "--vae",
# VAE_PATH,
# "--llm",
# LLM_PATH,
# "--ref-image",
# ",".join(INPUT_IMAGE_PATHS),
# "--prompt",
# PROMPT,
# "--steps",
# str(STEPS),
# "--cfg-scale",
# str(CFG_SCALE),
# "--sampling-method",
# SAMPLE_METHOD,
# "--flow-shift",
# str(FLOW_SHIFT),
# "--offload-to-cpu",
# "--output",
# f"{OUTPUT_DIR}/qwen_image_edit_cli.png",
# "-v",
# ]
# print(" ".join(cli_cmd))
# subprocess.run(cli_cmd, check=True)