# img_gen.py import sys import os import random from huggingface_hub import InferenceClient, login from datetime import datetime from config.config import api_token from config.models import models from metadata.metadata import fetch_metadata from src.prompt_gen import prompt_gen def generate_image( adventurer_id, #prompt_alias, #character_dropdown, scene_dropdown, #model_alias, custom_prompt, height=360, width=640, num_inference_steps=20, guidance_scale=2.0, seed=-1): print ("Sending to prompt gen") adventurer, prompt = prompt_gen(adventurer_id, scene_dropdown) id = adventurer['id'] name = adventurer['name'] weapon_equipment = adventurer['weapon'] head_equipment = adventurer['head'] hand_equipment = adventurer['hand'] chest_equipment = adventurer['chest'] waist_equipment = adventurer['waist'] foot_equipment = adventurer['foot'] gold_equipment = adventurer['gold'] beast_last_battle = adventurer['beast'] # Find the selected prompt and model model_alias = "FLUX.1-dev" 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." # Print the original prompt and dynamic values for debugging print("Original Prompt:") print(prompt) # Append the custom prompt (if provided) if custom_prompt and len(custom_prompt.strip()) > 0: prompt += " " + custom_prompt.strip() # Print the formatted prompt for debugging print("\nFormatted Prompt:") print(prompt) # Randomize the seed if needed if seed == -1: seed = random.randint(0, 1000000) # HF LOGIN print("Initializing HF TOKEN") print (api_token) # login(token=api_token) # print("model_name:") # print(model_name) # Initialize the InferenceClient try: print("-----INITIALIZING INFERENCE-----") client = InferenceClient(model_name, token=api_token) print("Inference activated") except Exception as e: return None, f"ERROR: Failed to initialize InferenceClient. Details: {e}" #Generate the image try: print("-----GENERATING IMAGE-----") print("-----HOLD ON-----") image = client.text_to_image( prompt, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps, width=width, height=height, seed=seed ) print("-----IMAGE GENERATED SUCCESSFULLY!-----") except Exception as e: return None, f"ERROR: Failed to generate image. Details: {e}" # Save the image with a timestamped filename print("-----SAVING-----", image) path = "images" message = f"Image generated successfully! Call the banners! \n\n=====ADVENTURER GENERATED===== \nID: {id}\nNAME: {name}\nWEAPON: {weapon_equipment}\nHEAD: {head_equipment}\nHAND: {hand_equipment}\nCHEST: {chest_equipment}\nWAIST: {waist_equipment}\nFOOT: {foot_equipment}\nGOLD: {gold_equipment}\nLAST BATTLE BEAST: {beast_last_battle}" file_name_extension = f"{id}_{weapon_equipment}_{head_equipment}_{hand_equipment}_{chest_equipment}_{waist_equipment}_{foot_equipment}_{gold_equipment}_{beast_last_battle}" timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") output_filename = f"{path}/{timestamp}_{seed}_{model_alias.replace(' ', '_').lower()}_{scene_dropdown.replace(' ', '_').lower()}_{file_name_extension.replace(' ', '_').lower()}.png" # output_filename = f"{path}/{timestamp}_{seed}_{model_alias.replace(' ', '_').lower()}_{prompt_alias.replace(' ', '_').lower()}_{characer_dropdown.replace(' ', '_').lower()}_{file_name_extension.replace(' ', '_').lower()}.png" try: image.save(output_filename) except Exception as e: return None, f"ERROR: Failed to save image. Details: {e}" print("-----DONE!-----") print("-----CALL THE BANNERS!-----") return output_filename, message