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# src/img_gen_logic.py
import random
from huggingface_hub import InferenceClient
from PIL import Image
from datetime import datetime
from config import api_token, models, prompts # Direct import
def generate_image(prompt_alias, team, model_alias, custom_prompt, height=360, width=640, num_inference_steps=20, guidance_scale=2.0, seed=-1):
# Debugging: Check if the token is available
if not api_token:
return None, "ERROR: Hugging Face token (HF_CTB_TOKEN) is missing. Please set it as an environment variable."
# Find the selected prompt and model
try:
prompt = next(p for p in prompts if p["alias"] == prompt_alias)["text"]
model_name = next(m for m in models if m["alias"] == model_alias)["name"]
except StopIteration:
return None, "ERROR: Invalid prompt or model selected."
# Determine the enemy color
enemy_color = "blue" if team.lower() == "red" else "red"
prompt = prompt.format(enemy_color=enemy_color)
if team.lower() == "red":
prompt += " The winning army is dressed in red armor and banners."
elif team.lower() == "blue":
prompt += " The winning army is dressed in blue armor and banners."
# Append the custom prompt (if provided)
if custom_prompt and len(custom_prompt.strip()) > 0:
prompt += " " + custom_prompt.strip()
# Randomize the seed if needed
if seed == -1:
seed = random.randint(0, 1000000)
# Initialize the InferenceClient
try:
client = InferenceClient(model_name, token=api_token)
except Exception as e:
return None, f"ERROR: Failed to initialize InferenceClient. Details: {e}"
# Generate the image
try:
image = client.text_to_image(
prompt,
guidance_scale=guidance_scale,
num_inference_steps=num_inference_steps,
width=width,
height=height,
seed=seed
)
except Exception as e:
return None, f"ERROR: Failed to generate image. Details: {e}"
# Save the image with a timestamped filename
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_filename = f"{timestamp}_{model_alias.replace(' ', '_').lower()}_{prompt_alias.replace(' ', '_').lower()}_{team.lower()}.png"
try:
image.save(output_filename)
except Exception as e:
return None, f"ERROR: Failed to save image. Details: {e}"
return output_filename, "Image generated successfully!" |