README.md

@@ -7,21 +7,8 @@ this is a txt2img bot to converse with SDweb bot [API](https://github.com/AUTOMA
 supported invocation:  
 `/draw <text>` - send prompt text to the bot and it will draw an image  
 you can add `negative_prompt` using `ng: <text>`  
-you can add `denoised intermediate steps` using `steps: <text>`  
+you can add `denoised intermediate steps` using `steps: <text>` 
 
-basicly anything the `/controlnet/txt2img` API payload supports  
-like, 
-```json
-{
-  "prompt": "",
-  "negative_prompt": "",
-  "denoising_strength": 0.5,
-  "seed": -1,
-  "n_iter": 1,
-  "steps": 20,
-  "cfg_scale": 7
-}
-```
 examples:  
 `/draw a city street`  
 and without people  

main.py

@@ -1,7 +1,6 @@
 import json
 import requests
 import io
-import re
 import os
 import uuid
 import base64
@@ -27,97 +26,48 @@ SD_URL = os.environ.get("SD_URL", None)
 print(SD_URL)
 app = Client("stable", api_id=API_ID, api_hash=API_HASH, bot_token=TOKEN)
 
-# default params
+#default params
 steps_value_default = 40
 
-
+def process_input_string(string):
-def parse_input(input_string):
+    ng_delimiter = "ng:"
-    default_payload = {
+    steps_delimiter = "steps:"
-        "prompt": "",
+    
-        "negative_prompt": "",
+    ng_index = string.find(ng_delimiter)
-        "controlnet_input_image": [],
+    steps_index = string.find(steps_delimiter)
-        "controlnet_mask": [],
+    
-        "controlnet_module": "",
+    if ng_index != -1 and steps_index != -1:
-        "controlnet_model": "",
+        if ng_index < steps_index:
-        "controlnet_weight": 1,
+            positive = string[:ng_index].strip()
-        "controlnet_resize_mode": "Scale to Fit (Inner Fit)",
+            negative = string[ng_index + len(ng_delimiter):steps_index].strip()
-        "controlnet_lowvram": False,
+            steps_str = string[steps_index + len(steps_delimiter):].strip().split()[0]
-        "controlnet_processor_res": 64,
-        "controlnet_threshold_a": 64,
-        "controlnet_threshold_b": 64,
-        "controlnet_guidance": 1,
-        "controlnet_guessmode": True,
-        "enable_hr": False,
-        "denoising_strength": 0.5,
-        "hr_scale": 1.5,
-        "hr_upscale": "Latent",
-        "seed": -1,
-        "subseed": -1,
-        "subseed_strength": -1,
-        "sampler_index": "",
-        "batch_size": 1,
-        "n_iter": 1,
-        "steps": 20,
-        "cfg_scale": 7,
-        "width": 512,
-        "height": 512,
-        "restore_faces": True,
-        "override_settings": {},
-        "override_settings_restore_afterwards": True,
-    }
-    # Initialize an empty payload with the 'prompt' key
-    payload = {"prompt": ""}
-
-    prompt = []
-
-    # Find all occurrences of keys (words ending with a colon)
-    matches = re.finditer(r"(\w+):", input_string)
-    last_index = 0
-
-    # Iterate over the found keys
-    for match in matches:
-        key = match.group(1).lower()  # Convert the key to lowercase
-        value_start_index = match.end()
-
-        # If there's text between the last key and the current key, add it to the prompt
-        if last_index != match.start():
-            prompt.append(input_string[last_index : match.start()].strip())
-        last_index = value_start_index
-
-        # Check if the key is in the default payload
-        if key in default_payload:
-            # Extract the value for the current key
-            value_end_index = re.search(
-                r"(?=\s+\w+:|$)", input_string[value_start_index:]
-            ).start()
-            value = input_string[
-                value_start_index : value_start_index + value_end_index
-            ].strip()
-
-            # Check if the default value for the key is an integer
-            if isinstance(default_payload[key], int):
-                # If the value is a valid integer, store it as an integer in the payload
-                if value.isdigit():
-                    payload[key] = int(value)
-            else:
-                # If the default value for the key is not an integer, store the value as is in the payload
-                payload[key] = value
-
-            last_index += value_end_index
         else:
-            # If the key is not in the default payload, add it to the prompt
+            positive = string[:steps_index].strip()
-            prompt.append(f"{key}:")
+            negative = string[steps_index + len(steps_delimiter):ng_index].strip()
+            steps_str = string[ng_index + len(ng_delimiter):].strip().split()[0]
+    elif ng_index != -1:
+        positive = string[:ng_index].strip()
+        negative = string[ng_index + len(ng_delimiter):].strip()
+        steps_str = None
+    elif steps_index != -1:
+        positive = string[:steps_index].strip()
+        negative = None
+        steps_str = string[steps_index + len(steps_delimiter):].strip().split()[0]
+    else:
+        positive = string.strip()
+        negative = None
+        steps_str = None
 
-    # Join the prompt words and store it in the payload
+    try:
-    payload["prompt"] = " ".join(prompt)
+        steps_value = int(steps_str)
-
+        #limit steps to range
-    # If the prompt is empty, set the input string as the prompt
+        if not 1 <= steps_value <= 70:
-    if not payload["prompt"]:
+            steps_value = steps_value_default
-        payload["prompt"] = input_string.strip()
+    except (ValueError, TypeError):
-
+        steps_value = None
-    # Return the final payload
+    
-    return payload
 
+    return positive, negative, steps_value
 
 @app.on_message(filters.command(["draw"]))
 def draw(client, message):
@@ -128,11 +78,20 @@ def draw(client, message):
         )
         return
 
-    payload = parse_input(msgs[1])
+    positive, negative, steps_value = process_input_string(msgs[1])
+    payload = {
+        "prompt": positive,
+    }
+    if negative is not None:
+        payload["negative_prompt"] = negative
+    if steps_value is not None:
+        payload["steps"] = steps_value
+
     print(payload)
 
     # The rest of the draw function remains unchanged
 
+
     K = message.reply_text("Please Wait 10-15 Second")
     r = requests.post(url=f"{SD_URL}/sdapi/v1/txt2img", json=payload).json()
 
@@ -152,23 +111,15 @@ def draw(client, message):
         pnginfo.add_text("parameters", response2.json().get("info"))
         image.save(f"{word}.png", pnginfo=pnginfo)
 
-        # Add a flag to check if the user provided a seed value
-        user_provided_seed = "seed" in payload
-
-        info_dict = response2.json()
-        seed_value = info_dict['info'].split(", Seed: ")[1].split(",")[0]
-        # print(seed_value)
-
-        caption = f"**[{message.from_user.first_name}-Kun](tg://user?id={message.from_user.id})**\n\n"
-        for key, value in payload.items():
-            caption += f"{key.capitalize()} - **{value}**\n"
-        caption += f"Seed - **{seed_value}**\n"
-
         message.reply_photo(
-            photo=f"{word}.png",
+        photo=f"{word}.png",
-            caption=caption,
+        caption=(
-        )
+            f"Prompt - **{positive}**\n"
-
+            f"Negative Prompt - **{negative if negative is not None else 'None'}**\n"
+            f"Steps - **{steps_value if steps_value != steps_value_default else 'Default'}**\n"
+            f"**[{message.from_user.first_name}-Kun](tg://user?id={message.from_user.id})**"
+        ),
+)
 
         # os.remove(f"{word}.png")
         K.delete()