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# 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 |