Update app.py
Browse files
app.py
CHANGED
|
@@ -4,50 +4,20 @@ import io
|
|
| 4 |
import random
|
| 5 |
import os
|
| 6 |
import time
|
| 7 |
-
import json
|
| 8 |
from PIL import Image
|
|
|
|
| 9 |
|
| 10 |
# Project by Nymbo
|
| 11 |
|
| 12 |
-
#
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
| 14 |
# Timeout for requests
|
| 15 |
timeout = 100
|
| 16 |
|
| 17 |
-
|
| 18 |
-
def query_hf_inference(prompt, model_path, headers, payload, timeout):
|
| 19 |
-
"""Handler for Hugging Face Inference API requests"""
|
| 20 |
-
api_url = f"https://api-inference.huggingface.co/models/{model_path}"
|
| 21 |
-
print(f"Making request to HF Inference API: {api_url}")
|
| 22 |
-
return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
|
| 23 |
-
|
| 24 |
-
def query_fal_ai(prompt, model_path, headers, payload, timeout):
|
| 25 |
-
"""Handler for Fal AI API requests"""
|
| 26 |
-
api_url = f"https://live.fal.ai/hugging-face/{model_path}"
|
| 27 |
-
print(f"Making request to Fal AI: {api_url}")
|
| 28 |
-
return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
|
| 29 |
-
|
| 30 |
-
def query_nebius(prompt, model_path, headers, payload, timeout):
|
| 31 |
-
"""Handler for Nebius API requests"""
|
| 32 |
-
api_url = f"https://router.huggingface.co/nebius/v1/text-to-image/{model_path}"
|
| 33 |
-
print(f"Making request to Nebius: {api_url}")
|
| 34 |
-
return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
|
| 35 |
-
|
| 36 |
-
def query_replicate(prompt, model_path, headers, payload, timeout):
|
| 37 |
-
"""Handler for Replicate API requests"""
|
| 38 |
-
api_url = f"https://router.huggingface.co/replicate/v1/text-to-image/{model_path}"
|
| 39 |
-
print(f"Making request to Replicate: {api_url}")
|
| 40 |
-
return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
|
| 41 |
-
|
| 42 |
-
def query_together(prompt, model_path, headers, payload, timeout):
|
| 43 |
-
"""Handler for Together API requests"""
|
| 44 |
-
api_url = f"https://router.huggingface.co/together/v1/text-to-image/{model_path}"
|
| 45 |
-
print(f"Making request to Together: {api_url}")
|
| 46 |
-
return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
|
| 47 |
-
|
| 48 |
-
# Main query function
|
| 49 |
-
def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7, sampler="DPM++ 2M Karras",
|
| 50 |
-
seed=-1, strength=0.7, width=1024, height=1024, custom_api_key="", provider="hf-inference"):
|
| 51 |
# Debug log to indicate function start
|
| 52 |
print("Starting query function...")
|
| 53 |
# Print the parameters for debugging purposes
|
|
@@ -55,8 +25,6 @@ def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7,
|
|
| 55 |
print(f"Model: {model}")
|
| 56 |
print(f"Custom LoRA: {custom_lora}")
|
| 57 |
print(f"Parameters - Steps: {steps}, CFG Scale: {cfg_scale}, Seed: {seed}, Strength: {strength}, Width: {width}, Height: {height}")
|
| 58 |
-
print(f"Provider: {provider}")
|
| 59 |
-
print(f"Custom API Key provided: {bool(custom_api_key.strip())}") # Log whether a custom key was provided without printing the key
|
| 60 |
|
| 61 |
# Check if the prompt is empty or None
|
| 62 |
if prompt == "" or prompt is None:
|
|
@@ -67,222 +35,299 @@ def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7,
|
|
| 67 |
key = random.randint(0, 999)
|
| 68 |
print(f"Generated key: {key}") # Debug log
|
| 69 |
|
| 70 |
-
#
|
| 71 |
-
|
| 72 |
-
print("USING CUSTOM API KEY: BYOK token provided by user is being used for authentication")
|
| 73 |
-
API_TOKEN = custom_api_key.strip()
|
| 74 |
-
else:
|
| 75 |
-
if provider == "hf-inference":
|
| 76 |
-
# Randomly select an API token from available options to distribute the load for HF Inference
|
| 77 |
-
API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"),
|
| 78 |
-
os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"),
|
| 79 |
-
os.getenv("HF_READ_TOKEN_5")])
|
| 80 |
-
print("USING DEFAULT API KEY: Random environment variable token is being used for authentication")
|
| 81 |
-
else:
|
| 82 |
-
# For other providers, use the default HF token
|
| 83 |
-
API_TOKEN = HF_TOKEN
|
| 84 |
-
print("USING DEFAULT HF TOKEN: Environment variable HF_TOKEN is being used for authentication")
|
| 85 |
-
|
| 86 |
headers = {"Authorization": f"Bearer {API_TOKEN}"}
|
|
|
|
| 87 |
|
| 88 |
# Enhance the prompt with additional details for better quality
|
| 89 |
prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
|
| 90 |
print(f'Generation {key}: {prompt}') # Debug log
|
| 91 |
|
| 92 |
-
# Set the
|
| 93 |
if custom_lora.strip() != "":
|
| 94 |
-
|
| 95 |
else:
|
| 96 |
-
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
|
| 143 |
-
|
| 144 |
-
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
|
| 148 |
-
|
| 149 |
-
|
| 150 |
-
|
| 151 |
-
|
| 152 |
-
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
|
| 156 |
-
|
| 157 |
-
|
| 158 |
-
|
| 159 |
-
|
| 160 |
-
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
|
| 164 |
-
|
| 165 |
-
|
| 166 |
-
|
| 167 |
-
|
| 168 |
-
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
|
| 172 |
-
|
| 173 |
-
|
| 174 |
-
|
| 175 |
-
|
| 176 |
-
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
|
| 180 |
-
|
| 181 |
-
|
| 182 |
-
|
| 183 |
-
|
| 184 |
-
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
|
| 188 |
-
|
| 189 |
-
|
| 190 |
-
|
| 191 |
-
|
| 192 |
-
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
|
| 206 |
-
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
|
| 220 |
-
|
| 221 |
-
|
| 222 |
-
|
| 223 |
-
|
| 224 |
-
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
|
| 228 |
-
|
| 229 |
-
|
| 230 |
-
|
| 231 |
-
|
| 232 |
-
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
|
| 239 |
-
|
| 240 |
-
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
|
| 244 |
-
|
| 245 |
-
|
| 246 |
-
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
|
| 253 |
-
|
| 254 |
-
|
| 255 |
-
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
|
| 262 |
-
|
| 263 |
-
|
| 264 |
-
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
| 270 |
-
|
| 271 |
-
|
| 272 |
-
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
|
| 276 |
-
|
| 277 |
-
|
| 278 |
-
|
| 279 |
-
|
| 280 |
-
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
|
| 284 |
-
|
| 285 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 286 |
|
| 287 |
# Define the payload for the request
|
| 288 |
payload = {
|
|
@@ -299,21 +344,9 @@ def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7,
|
|
| 299 |
}
|
| 300 |
print(f"Payload: {json.dumps(payload, indent=2)}") # Debug log
|
| 301 |
|
| 302 |
-
#
|
| 303 |
-
provider_handlers = {
|
| 304 |
-
"hf-inference": query_hf_inference,
|
| 305 |
-
"fal-ai": query_fal_ai,
|
| 306 |
-
"nebius": query_nebius,
|
| 307 |
-
"replicate": query_replicate,
|
| 308 |
-
"together": query_together
|
| 309 |
-
}
|
| 310 |
-
|
| 311 |
-
# Get the appropriate handler for the selected provider
|
| 312 |
-
handler = provider_handlers.get(provider, query_hf_inference)
|
| 313 |
-
|
| 314 |
-
# Make a request to the API to generate the image using the selected handler
|
| 315 |
try:
|
| 316 |
-
response =
|
| 317 |
print(f"Response status code: {response.status_code}") # Debug log
|
| 318 |
except requests.exceptions.RequestException as e:
|
| 319 |
# Log any request exceptions and raise an error for the user
|
|
@@ -357,7 +390,7 @@ footer {visibility: hidden !important;}
|
|
| 357 |
print("Initializing Gradio interface...") # Debug log
|
| 358 |
|
| 359 |
# Define the Gradio interface
|
| 360 |
-
with gr.Blocks(theme='Nymbo/
|
| 361 |
# Tab for basic settings
|
| 362 |
with gr.Tab("Basic Settings"):
|
| 363 |
with gr.Row():
|
|
@@ -494,24 +527,6 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
|
|
| 494 |
|
| 495 |
# Tab for advanced settings
|
| 496 |
with gr.Tab("Advanced Settings"):
|
| 497 |
-
with gr.Row():
|
| 498 |
-
# Provider selection
|
| 499 |
-
provider_radio = gr.Radio(
|
| 500 |
-
choices=["hf-inference", "fal-ai", "nebius", "replicate", "together"],
|
| 501 |
-
value="hf-inference",
|
| 502 |
-
label="Inference Provider",
|
| 503 |
-
info="Select the provider to use for image generation"
|
| 504 |
-
)
|
| 505 |
-
with gr.Row():
|
| 506 |
-
# BYOK (Bring Your Own Key) textbox
|
| 507 |
-
byok_textbox = gr.Textbox(
|
| 508 |
-
value="",
|
| 509 |
-
label="BYOK (Bring Your Own Key)",
|
| 510 |
-
info="Enter a custom API key here. When provided, this key will be used instead of the default keys.",
|
| 511 |
-
placeholder="Enter your API token",
|
| 512 |
-
type="password", # Hide the API key for security
|
| 513 |
-
elem_id="byok-input"
|
| 514 |
-
)
|
| 515 |
with gr.Row():
|
| 516 |
# Textbox for specifying elements to exclude from the image
|
| 517 |
negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
|
|
@@ -536,23 +551,6 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
|
|
| 536 |
# Radio buttons for selecting the sampling method
|
| 537 |
method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
|
| 538 |
|
| 539 |
-
# Function to validate provider selection
|
| 540 |
-
def validate_provider(api_key, provider):
|
| 541 |
-
# If custom key is provided, any provider can be used
|
| 542 |
-
if api_key.strip():
|
| 543 |
-
return gr.update(value=provider, interactive=True)
|
| 544 |
-
# If no custom key is provided, only HF Inference is allowed
|
| 545 |
-
elif provider != "hf-inference":
|
| 546 |
-
return gr.update(value="hf-inference", interactive=True)
|
| 547 |
-
return gr.update(value=provider, interactive=True)
|
| 548 |
-
|
| 549 |
-
# Connect the BYOK textbox to validate provider selection
|
| 550 |
-
byok_textbox.change(
|
| 551 |
-
fn=validate_provider,
|
| 552 |
-
inputs=[byok_textbox, provider_radio],
|
| 553 |
-
outputs=provider_radio
|
| 554 |
-
)
|
| 555 |
-
|
| 556 |
# Tab for image editing options
|
| 557 |
with gr.Tab("Image Editor"):
|
| 558 |
# Function to simulate a delay for processing
|
|
@@ -610,43 +608,10 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
|
|
| 610 |
"""
|
| 611 |
)
|
| 612 |
|
| 613 |
-
# Accordion providing an overview of providers
|
| 614 |
-
with gr.Accordion("Providers Information", open=False):
|
| 615 |
-
gr.Markdown(
|
| 616 |
-
"""
|
| 617 |
-
## Inference Providers
|
| 618 |
-
|
| 619 |
-
This application supports multiple inference providers for image generation:
|
| 620 |
-
|
| 621 |
-
### HF Inference
|
| 622 |
-
###### The default Hugging Face Inference API. This is a serverless solution that allows you to run model inference on Hugging Face's infrastructure. Free to use with limitations.
|
| 623 |
-
|
| 624 |
-
### Fal AI
|
| 625 |
-
###### Fal AI provides optimized inference for image generation models. May offer better performance for certain model types.
|
| 626 |
-
|
| 627 |
-
### Nebius
|
| 628 |
-
###### Nebius AI is a technology company specializing in AI-centric cloud platforms, offering scalable GPU clusters for inference.
|
| 629 |
-
|
| 630 |
-
### Replicate
|
| 631 |
-
###### Replicate's API makes it easy to run machine learning models in the cloud with a simple API.
|
| 632 |
-
|
| 633 |
-
### Together
|
| 634 |
-
###### Together AI offers high-performance inference for various AI models.
|
| 635 |
-
|
| 636 |
-
When no custom API key is provided, only HF Inference can be used. For other providers, you must bring your own API key.
|
| 637 |
-
"""
|
| 638 |
-
)
|
| 639 |
-
|
| 640 |
# Accordion providing an overview of advanced settings
|
| 641 |
with gr.Accordion("Advanced Settings Overview", open=False):
|
| 642 |
gr.Markdown(
|
| 643 |
"""
|
| 644 |
-
## Inference Provider
|
| 645 |
-
###### Select which provider to use for image generation. Each provider has different performance characteristics and model availability.
|
| 646 |
-
|
| 647 |
-
## BYOK (Bring Your Own Key)
|
| 648 |
-
###### This allows you to use your own API key instead of the default keys. Enter your key here for direct access to models using your account's permissions and rate limits.
|
| 649 |
-
|
| 650 |
## Negative Prompt
|
| 651 |
###### This box is for telling the AI what you don't want in your images. Think of it as a way to avoid certain elements. For instance, if you don't want blurry images or extra limbs showing up, this is where you'd mention it.
|
| 652 |
|
|
@@ -679,9 +644,9 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
|
|
| 679 |
with gr.Row():
|
| 680 |
image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
|
| 681 |
|
| 682 |
-
# Set up button click event to call the query function
|
| 683 |
-
text_button.click(query, inputs=[text_prompt, model, custom_lora, negative_prompt, steps, cfg, method, seed, strength, width, height
|
| 684 |
|
| 685 |
print("Launching Gradio interface...") # Debug log
|
| 686 |
# Launch the Gradio interface without showing the API or sharing externally
|
| 687 |
-
dalle.launch(show_api=
|
|
|
|
| 4 |
import random
|
| 5 |
import os
|
| 6 |
import time
|
|
|
|
| 7 |
from PIL import Image
|
| 8 |
+
import json
|
| 9 |
|
| 10 |
# Project by Nymbo
|
| 11 |
|
| 12 |
+
# Base API URL for Hugging Face inference
|
| 13 |
+
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
|
| 14 |
+
# Retrieve the API token from environment variables
|
| 15 |
+
API_TOKEN = os.getenv("HF_READ_TOKEN")
|
| 16 |
+
headers = {"Authorization": f"Bearer {API_TOKEN}"}
|
| 17 |
# Timeout for requests
|
| 18 |
timeout = 100
|
| 19 |
|
| 20 |
+
def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
# Debug log to indicate function start
|
| 22 |
print("Starting query function...")
|
| 23 |
# Print the parameters for debugging purposes
|
|
|
|
| 25 |
print(f"Model: {model}")
|
| 26 |
print(f"Custom LoRA: {custom_lora}")
|
| 27 |
print(f"Parameters - Steps: {steps}, CFG Scale: {cfg_scale}, Seed: {seed}, Strength: {strength}, Width: {width}, Height: {height}")
|
|
|
|
|
|
|
| 28 |
|
| 29 |
# Check if the prompt is empty or None
|
| 30 |
if prompt == "" or prompt is None:
|
|
|
|
| 35 |
key = random.randint(0, 999)
|
| 36 |
print(f"Generated key: {key}") # Debug log
|
| 37 |
|
| 38 |
+
# Randomly select an API token from available options to distribute the load
|
| 39 |
+
API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
headers = {"Authorization": f"Bearer {API_TOKEN}"}
|
| 41 |
+
print(f"Selected API token: {API_TOKEN}") # Debug log
|
| 42 |
|
| 43 |
# Enhance the prompt with additional details for better quality
|
| 44 |
prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
|
| 45 |
print(f'Generation {key}: {prompt}') # Debug log
|
| 46 |
|
| 47 |
+
# Set the API URL based on the selected model or custom LoRA
|
| 48 |
if custom_lora.strip() != "":
|
| 49 |
+
API_URL = f"https://api-inference.huggingface.co/models/{custom_lora.strip()}"
|
| 50 |
else:
|
| 51 |
+
if model == 'Stable Diffusion XL':
|
| 52 |
+
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
|
| 53 |
+
if model == 'FLUX.1 [Dev]':
|
| 54 |
+
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
|
| 55 |
+
if model == 'FLUX.1 [Schnell]':
|
| 56 |
+
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
|
| 57 |
+
if model == 'HiDream-I1-Full':
|
| 58 |
+
API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Full"
|
| 59 |
+
if model == 'HiDream-I1-Dev':
|
| 60 |
+
API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Dev"
|
| 61 |
+
if model == 'HiDream-I1-Fast':
|
| 62 |
+
API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Fast"
|
| 63 |
+
if model == 'Animagine 4.0':
|
| 64 |
+
API_URL = "https://api-inference.huggingface.co/models/cagliostrolab/animagine-xl-4.0"
|
| 65 |
+
prompt = f"masterpiece, high score, great score, absurdres, {prompt}"
|
| 66 |
+
if model == 'Flux Icon Kit':
|
| 67 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Icon-Kit-LoRA"
|
| 68 |
+
prompt = f"Icon Kit, {prompt}"
|
| 69 |
+
if model == 'Pixel Background':
|
| 70 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Pixel-Background-LoRA"
|
| 71 |
+
prompt = f"Pixel Background, {prompt}"
|
| 72 |
+
if model == 'Meme XD':
|
| 73 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Meme-Xd-LoRA"
|
| 74 |
+
prompt = f"meme, {prompt}"
|
| 75 |
+
if model == 'Chill Guy':
|
| 76 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Chill-Guy-Zone"
|
| 77 |
+
prompt = f"chill guy, {prompt}"
|
| 78 |
+
if model == 'Pepe':
|
| 79 |
+
API_URL = "https://api-inference.huggingface.co/models/openfree/pepe"
|
| 80 |
+
prompt = f"pepe, {prompt}"
|
| 81 |
+
if model == 'NSFWmodel':
|
| 82 |
+
API_URL = "https://api-inference.huggingface.co/models/lexa862/NSFWmodel"
|
| 83 |
+
prompt = f"nude, {prompt}"
|
| 84 |
+
if model == 'Claude Art':
|
| 85 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Claude-Art"
|
| 86 |
+
prompt = f"claude art, {prompt}"
|
| 87 |
+
if model == 'Open Genmoji':
|
| 88 |
+
API_URL = "https://api-inference.huggingface.co/models/EvanZhouDev/open-genmoji"
|
| 89 |
+
prompt = f"emoji, {prompt}"
|
| 90 |
+
if model == 'EBook Creative Cover':
|
| 91 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/EBook-Creative-Cover-Flux-LoRA"
|
| 92 |
+
prompt = f"EBook Cover, {prompt}"
|
| 93 |
+
if model == 'Flux Logo Design 2':
|
| 94 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Logo-Design-Flux-LoRA"
|
| 95 |
+
prompt = f"Logo Design, {prompt}"
|
| 96 |
+
if model == 'Isometric 3D':
|
| 97 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Isometric-3D-LoRA"
|
| 98 |
+
prompt = f"Isometric 3D, {prompt}"
|
| 99 |
+
if model == 'Flux Condensation':
|
| 100 |
+
API_URL = "https://api-inference.huggingface.co/models/fofr/flux-condensation"
|
| 101 |
+
prompt = f"CONDENSATION, {prompt}"
|
| 102 |
+
if model == 'Flux Handwriting':
|
| 103 |
+
API_URL = "https://api-inference.huggingface.co/models/fofr/flux-handwriting"
|
| 104 |
+
prompt = f"HWRIT handwriting, {prompt}"
|
| 105 |
+
if model == 'Shou Xin':
|
| 106 |
+
API_URL = "https://api-inference.huggingface.co/models/Datou1111/shou_xin"
|
| 107 |
+
prompt = f"shou_xin, pencil sketch, {prompt}"
|
| 108 |
+
if model == 'Sketch Smudge':
|
| 109 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Sketch-Smudge-LoRA"
|
| 110 |
+
prompt = f"Sketch Smudge, {prompt}"
|
| 111 |
+
if model == '80s Cyberpunk':
|
| 112 |
+
API_URL = "https://api-inference.huggingface.co/models/fofr/flux-80s-cyberpunk"
|
| 113 |
+
prompt = f"80s cyberpunk, {prompt}"
|
| 114 |
+
if model == 'Coloring Book Flux':
|
| 115 |
+
API_URL = "https://api-inference.huggingface.co/models/renderartist/coloringbookflux"
|
| 116 |
+
prompt = f"c0l0ringb00k, coloring book, coloring book page, {prompt}"
|
| 117 |
+
if model == 'Flux Miniature LoRA':
|
| 118 |
+
API_URL = "https://api-inference.huggingface.co/models/gokaygokay/Flux-Miniature-LoRA"
|
| 119 |
+
prompt = f"MNTR, miniature drawing, {prompt}"
|
| 120 |
+
if model == 'Sketch Paint':
|
| 121 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Sketch-Paint"
|
| 122 |
+
prompt = f"Sketch paint, {prompt}"
|
| 123 |
+
if model == 'Flux UltraRealism 2.0':
|
| 124 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0"
|
| 125 |
+
prompt = f"Ultra realistic, {prompt}"
|
| 126 |
+
if model == 'Midjourney Mix':
|
| 127 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix-LoRA"
|
| 128 |
+
prompt = f"midjourney mix, {prompt}"
|
| 129 |
+
if model == 'Midjourney Mix 2':
|
| 130 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix2-LoRA"
|
| 131 |
+
prompt = f"MJ v6, {prompt}"
|
| 132 |
+
if model == 'Flux Logo Design':
|
| 133 |
+
API_URL = "https://api-inference.huggingface.co/models/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design"
|
| 134 |
+
prompt = f"wablogo, logo, Minimalist, {prompt}"
|
| 135 |
+
if model == 'Flux Uncensored':
|
| 136 |
+
API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-uncensored"
|
| 137 |
+
if model == 'Flux Uncensored V2':
|
| 138 |
+
API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-Uncensored-V2"
|
| 139 |
+
if model == 'Flux Tarot Cards':
|
| 140 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA"
|
| 141 |
+
prompt = f"Tarot card, {prompt}"
|
| 142 |
+
if model == 'Pixel Art Sprites':
|
| 143 |
+
API_URL = "https://api-inference.huggingface.co/models/sWizad/pokemon-trainer-sprites-pixelart-flux"
|
| 144 |
+
prompt = f"a pixel image, {prompt}"
|
| 145 |
+
if model == '3D Sketchfab':
|
| 146 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA"
|
| 147 |
+
prompt = f"3D Sketchfab, {prompt}"
|
| 148 |
+
if model == 'Retro Comic Flux':
|
| 149 |
+
API_URL = "https://api-inference.huggingface.co/models/renderartist/retrocomicflux"
|
| 150 |
+
prompt = f"c0m1c, comic book panel, {prompt}"
|
| 151 |
+
if model == 'Caricature':
|
| 152 |
+
API_URL = "https://api-inference.huggingface.co/models/TheAwakenOne/caricature"
|
| 153 |
+
prompt = f"CCTUR3, {prompt}"
|
| 154 |
+
if model == 'Huggieverse':
|
| 155 |
+
API_URL = "https://api-inference.huggingface.co/models/Chunte/flux-lora-Huggieverse"
|
| 156 |
+
prompt = f"HGGRE, {prompt}"
|
| 157 |
+
if model == 'Propaganda Poster':
|
| 158 |
+
API_URL = "https://api-inference.huggingface.co/models/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion"
|
| 159 |
+
prompt = f"propaganda poster, {prompt}"
|
| 160 |
+
if model == 'Flux Game Assets V2':
|
| 161 |
+
API_URL = "https://api-inference.huggingface.co/models/gokaygokay/Flux-Game-Assets-LoRA-v2"
|
| 162 |
+
prompt = f"wbgmsst, white background, {prompt}"
|
| 163 |
+
if model == 'SDXL HS Card Style':
|
| 164 |
+
API_URL = "https://api-inference.huggingface.co/models/Norod78/sdxl-hearthstone-card-style-lora"
|
| 165 |
+
prompt = f"Hearthstone Card, {prompt}"
|
| 166 |
+
if model == 'SLDR FLUX NSFW v2 Studio':
|
| 167 |
+
API_URL = "https://api-inference.huggingface.co/models/xey/sldr_flux_nsfw_v2-studio"
|
| 168 |
+
if model == 'SoftPasty Flux':
|
| 169 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/softpasty-flux-dev"
|
| 170 |
+
prompt = f"araminta_illus illustration style, {prompt}"
|
| 171 |
+
if model == 'Flux Stickers':
|
| 172 |
+
API_URL = "https://api-inference.huggingface.co/models/diabolic6045/Flux_Sticker_Lora"
|
| 173 |
+
prompt = f"5t1cker 5ty1e, {prompt}"
|
| 174 |
+
if model == 'Flux Animex V2':
|
| 175 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animex-v2-LoRA"
|
| 176 |
+
prompt = f"Animex, {prompt}"
|
| 177 |
+
if model == 'Flux Animeo V1':
|
| 178 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animeo-v1-LoRA"
|
| 179 |
+
prompt = f"Animeo, {prompt}"
|
| 180 |
+
if model == 'Movie Board':
|
| 181 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA"
|
| 182 |
+
prompt = f"movieboard, {prompt}"
|
| 183 |
+
if model == 'Purple Dreamy':
|
| 184 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Purple-Dreamy-Flux-LoRA"
|
| 185 |
+
prompt = f"Purple Dreamy, {prompt}"
|
| 186 |
+
if model == 'PS1 Style Flux':
|
| 187 |
+
API_URL = "https://api-inference.huggingface.co/models/veryVANYA/ps1-style-flux"
|
| 188 |
+
prompt = f"ps1 game screenshot, {prompt}"
|
| 189 |
+
if model == 'Softserve Anime':
|
| 190 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/softserve_anime"
|
| 191 |
+
prompt = f"sftsrv style illustration, {prompt}"
|
| 192 |
+
if model == 'Flux Tarot v1':
|
| 193 |
+
API_URL = "https://api-inference.huggingface.co/models/multimodalart/flux-tarot-v1"
|
| 194 |
+
prompt = f"in the style of TOK a trtcrd tarot style, {prompt}"
|
| 195 |
+
if model == 'Half Illustration':
|
| 196 |
+
API_URL = "https://api-inference.huggingface.co/models/davisbro/half_illustration"
|
| 197 |
+
prompt = f"in the style of TOK, {prompt}"
|
| 198 |
+
if model == 'OpenDalle v1.1':
|
| 199 |
+
API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/OpenDalleV1.1"
|
| 200 |
+
if model == 'Flux Ghibsky Illustration':
|
| 201 |
+
API_URL = "https://api-inference.huggingface.co/models/aleksa-codes/flux-ghibsky-illustration"
|
| 202 |
+
prompt = f"GHIBSKY style, {prompt}"
|
| 203 |
+
if model == 'Flux Koda':
|
| 204 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/flux-koda"
|
| 205 |
+
prompt = f"flmft style, {prompt}"
|
| 206 |
+
if model == 'Soviet Diffusion XL':
|
| 207 |
+
API_URL = "https://api-inference.huggingface.co/models/openskyml/soviet-diffusion-xl"
|
| 208 |
+
prompt = f"soviet poster, {prompt}"
|
| 209 |
+
if model == 'Flux Realism LoRA':
|
| 210 |
+
API_URL = "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora"
|
| 211 |
+
if model == 'Frosting Lane Flux':
|
| 212 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/frosting_lane_flux"
|
| 213 |
+
prompt = f"frstingln illustration, {prompt}"
|
| 214 |
+
if model == 'Phantasma Anime':
|
| 215 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/phantasma-anime"
|
| 216 |
+
if model == 'Boreal':
|
| 217 |
+
API_URL = "https://api-inference.huggingface.co/models/kudzueye/Boreal"
|
| 218 |
+
prompt = f"photo, {prompt}"
|
| 219 |
+
if model == 'How2Draw':
|
| 220 |
+
API_URL = "https://api-inference.huggingface.co/models/glif/how2draw"
|
| 221 |
+
prompt = f"How2Draw, {prompt}"
|
| 222 |
+
if model == 'Flux AestheticAnime':
|
| 223 |
+
API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-AestheticAnime"
|
| 224 |
+
if model == 'Fashion Hut Modeling LoRA':
|
| 225 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Fashion-Hut-Modeling-LoRA"
|
| 226 |
+
prompt = f"Modeling of, {prompt}"
|
| 227 |
+
if model == 'Flux SyntheticAnime':
|
| 228 |
+
API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-SyntheticAnime"
|
| 229 |
+
prompt = f"1980s anime screengrab, VHS quality, syntheticanime, {prompt}"
|
| 230 |
+
if model == 'Flux Midjourney Anime':
|
| 231 |
+
API_URL = "https://api-inference.huggingface.co/models/brushpenbob/flux-midjourney-anime"
|
| 232 |
+
prompt = f"egmid, {prompt}"
|
| 233 |
+
if model == 'Coloring Book Generator':
|
| 234 |
+
API_URL = "https://api-inference.huggingface.co/models/robert123231/coloringbookgenerator"
|
| 235 |
+
if model == 'Collage Flux':
|
| 236 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-Collage-Dim-Flux-LoRA"
|
| 237 |
+
prompt = f"collage, {prompt}"
|
| 238 |
+
if model == 'Flux Product Ad Backdrop':
|
| 239 |
+
API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Product-Ad-Backdrop"
|
| 240 |
+
prompt = f"Product Ad, {prompt}"
|
| 241 |
+
if model == 'Product Design':
|
| 242 |
+
API_URL = "https://api-inference.huggingface.co/models/multimodalart/product-design"
|
| 243 |
+
prompt = f"product designed by prdsgn, {prompt}"
|
| 244 |
+
if model == '90s Anime Art':
|
| 245 |
+
API_URL = "https://api-inference.huggingface.co/models/glif/90s-anime-art"
|
| 246 |
+
if model == 'Brain Melt Acid Art':
|
| 247 |
+
API_URL = "https://api-inference.huggingface.co/models/glif/Brain-Melt-Acid-Art"
|
| 248 |
+
prompt = f"maximalism, in an acid surrealism style, {prompt}"
|
| 249 |
+
if model == 'Lustly Flux Uncensored v1':
|
| 250 |
+
API_URL = "https://api-inference.huggingface.co/models/lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1"
|
| 251 |
+
if model == 'NSFW Master Flux':
|
| 252 |
+
API_URL = "https://api-inference.huggingface.co/models/Keltezaa/NSFW_MASTER_FLUX"
|
| 253 |
+
prompt = f"NSFW, {prompt}"
|
| 254 |
+
if model == 'Flux Outfit Generator':
|
| 255 |
+
API_URL = "https://api-inference.huggingface.co/models/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator"
|
| 256 |
+
if model == 'Midjourney':
|
| 257 |
+
API_URL = "https://api-inference.huggingface.co/models/Jovie/Midjourney"
|
| 258 |
+
if model == 'DreamPhotoGASM':
|
| 259 |
+
API_URL = "https://api-inference.huggingface.co/models/Yntec/DreamPhotoGASM"
|
| 260 |
+
if model == 'Flux Super Realism LoRA':
|
| 261 |
+
API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Super-Realism-LoRA"
|
| 262 |
+
if model == 'Stable Diffusion 2-1':
|
| 263 |
+
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1-base"
|
| 264 |
+
if model == 'Stable Diffusion 3.5 Large':
|
| 265 |
+
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large"
|
| 266 |
+
if model == 'Stable Diffusion 3.5 Large Turbo':
|
| 267 |
+
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo"
|
| 268 |
+
if model == 'Stable Diffusion 3 Medium':
|
| 269 |
+
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3-medium-diffusers"
|
| 270 |
+
prompt = f"A, {prompt}"
|
| 271 |
+
if model == 'Duchaiten Real3D NSFW XL':
|
| 272 |
+
API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/duchaiten-real3d-nsfw-xl"
|
| 273 |
+
if model == 'Pixel Art XL':
|
| 274 |
+
API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
|
| 275 |
+
prompt = f"pixel art, {prompt}"
|
| 276 |
+
if model == 'Character Design':
|
| 277 |
+
API_URL = "https://api-inference.huggingface.co/models/KappaNeuro/character-design"
|
| 278 |
+
prompt = f"Character Design, {prompt}"
|
| 279 |
+
if model == 'Sketched Out Manga':
|
| 280 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/sketchedoutmanga"
|
| 281 |
+
prompt = f"daiton, {prompt}"
|
| 282 |
+
if model == 'Archfey Anime':
|
| 283 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/archfey_anime"
|
| 284 |
+
if model == 'Lofi Cuties':
|
| 285 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/lofi-cuties"
|
| 286 |
+
if model == 'YiffyMix':
|
| 287 |
+
API_URL = "https://api-inference.huggingface.co/models/Yntec/YiffyMix"
|
| 288 |
+
if model == 'Analog Madness Realistic v7':
|
| 289 |
+
API_URL = "https://api-inference.huggingface.co/models/digiplay/AnalogMadness-realistic-model-v7"
|
| 290 |
+
if model == 'Selfie Photography':
|
| 291 |
+
API_URL = "https://api-inference.huggingface.co/models/artificialguybr/selfiephotographyredmond-selfie-photography-lora-for-sdxl"
|
| 292 |
+
prompt = f"instagram model, discord profile picture, {prompt}"
|
| 293 |
+
if model == 'Filmgrain':
|
| 294 |
+
API_URL = "https://api-inference.huggingface.co/models/artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl"
|
| 295 |
+
prompt = f"Film Grain, FilmGrainAF, {prompt}"
|
| 296 |
+
if model == 'Leonardo AI Style Illustration':
|
| 297 |
+
API_URL = "https://api-inference.huggingface.co/models/goofyai/Leonardo_Ai_Style_Illustration"
|
| 298 |
+
prompt = f"leonardo style, illustration, vector art, {prompt}"
|
| 299 |
+
if model == 'Cyborg Style XL':
|
| 300 |
+
API_URL = "https://api-inference.huggingface.co/models/goofyai/cyborg_style_xl"
|
| 301 |
+
prompt = f"cyborg style, {prompt}"
|
| 302 |
+
if model == 'Little Tinies':
|
| 303 |
+
API_URL = "https://api-inference.huggingface.co/models/alvdansen/littletinies"
|
| 304 |
+
if model == 'NSFW XL':
|
| 305 |
+
API_URL = "https://api-inference.huggingface.co/models/Dremmar/nsfw-xl"
|
| 306 |
+
if model == 'Analog Redmond':
|
| 307 |
+
API_URL = "https://api-inference.huggingface.co/models/artificialguybr/analogredmond"
|
| 308 |
+
prompt = f"timeless style, {prompt}"
|
| 309 |
+
if model == 'Pixel Art Redmond':
|
| 310 |
+
API_URL = "https://api-inference.huggingface.co/models/artificialguybr/PixelArtRedmond"
|
| 311 |
+
prompt = f"Pixel Art, {prompt}"
|
| 312 |
+
if model == 'Ascii Art':
|
| 313 |
+
API_URL = "https://api-inference.huggingface.co/models/CiroN2022/ascii-art"
|
| 314 |
+
prompt = f"ascii art, {prompt}"
|
| 315 |
+
if model == 'Analog':
|
| 316 |
+
API_URL = "https://api-inference.huggingface.co/models/Yntec/Analog"
|
| 317 |
+
if model == 'Maple Syrup':
|
| 318 |
+
API_URL = "https://api-inference.huggingface.co/models/Yntec/MapleSyrup"
|
| 319 |
+
if model == 'Perfect Lewd Fantasy':
|
| 320 |
+
API_URL = "https://api-inference.huggingface.co/models/digiplay/perfectLewdFantasy_v1.01"
|
| 321 |
+
if model == 'AbsoluteReality 1.8.1':
|
| 322 |
+
API_URL = "https://api-inference.huggingface.co/models/digiplay/AbsoluteReality_v1.8.1"
|
| 323 |
+
if model == 'Disney':
|
| 324 |
+
API_URL = "https://api-inference.huggingface.co/models/goofyai/disney_style_xl"
|
| 325 |
+
prompt = f"Disney style, {prompt}"
|
| 326 |
+
if model == 'Redmond SDXL':
|
| 327 |
+
API_URL = "https://api-inference.huggingface.co/models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2"
|
| 328 |
+
if model == 'epiCPhotoGasm':
|
| 329 |
+
API_URL = "https://api-inference.huggingface.co/models/Yntec/epiCPhotoGasm"
|
| 330 |
+
print(f"API URL set to: {API_URL}") # Debug log
|
| 331 |
|
| 332 |
# Define the payload for the request
|
| 333 |
payload = {
|
|
|
|
| 344 |
}
|
| 345 |
print(f"Payload: {json.dumps(payload, indent=2)}") # Debug log
|
| 346 |
|
| 347 |
+
# Make a request to the API to generate the image
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
try:
|
| 349 |
+
response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
|
| 350 |
print(f"Response status code: {response.status_code}") # Debug log
|
| 351 |
except requests.exceptions.RequestException as e:
|
| 352 |
# Log any request exceptions and raise an error for the user
|
|
|
|
| 390 |
print("Initializing Gradio interface...") # Debug log
|
| 391 |
|
| 392 |
# Define the Gradio interface
|
| 393 |
+
with gr.Blocks(theme='Nymbo/Alyx_Theme') as dalle:
|
| 394 |
# Tab for basic settings
|
| 395 |
with gr.Tab("Basic Settings"):
|
| 396 |
with gr.Row():
|
|
|
|
| 527 |
|
| 528 |
# Tab for advanced settings
|
| 529 |
with gr.Tab("Advanced Settings"):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 530 |
with gr.Row():
|
| 531 |
# Textbox for specifying elements to exclude from the image
|
| 532 |
negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
|
|
|
|
| 551 |
# Radio buttons for selecting the sampling method
|
| 552 |
method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
|
| 553 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 554 |
# Tab for image editing options
|
| 555 |
with gr.Tab("Image Editor"):
|
| 556 |
# Function to simulate a delay for processing
|
|
|
|
| 608 |
"""
|
| 609 |
)
|
| 610 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 611 |
# Accordion providing an overview of advanced settings
|
| 612 |
with gr.Accordion("Advanced Settings Overview", open=False):
|
| 613 |
gr.Markdown(
|
| 614 |
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 615 |
## Negative Prompt
|
| 616 |
###### This box is for telling the AI what you don't want in your images. Think of it as a way to avoid certain elements. For instance, if you don't want blurry images or extra limbs showing up, this is where you'd mention it.
|
| 617 |
|
|
|
|
| 644 |
with gr.Row():
|
| 645 |
image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
|
| 646 |
|
| 647 |
+
# Set up button click event to call the query function
|
| 648 |
+
text_button.click(query, inputs=[text_prompt, model, custom_lora, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
|
| 649 |
|
| 650 |
print("Launching Gradio interface...") # Debug log
|
| 651 |
# Launch the Gradio interface without showing the API or sharing externally
|
| 652 |
+
dalle.launch(show_api=False, share=False)
|