info

main.py

@@ -23,8 +23,7 @@ IMAGE_PATH = 'images'
 # Ensure IMAGE_PATH directory exists
 os.makedirs(IMAGE_PATH, exist_ok=True)
 
-# Model-specific emmbedings for negative prompts
+# Model-specific embeddings for negative prompts
-# see civit.ai model page for specific emmbedings recommnded for each model
 model_negative_prompts = {
     "Anything-Diffusion": "",
     "Deliberate": "",
@@ -35,19 +34,15 @@ model_negative_prompts = {
     "v1-5-pruned-emaonly": ""
 }
 
-
 def encode_file_to_base64(path):
     with open(path, 'rb') as file:
         return base64.b64encode(file.read()).decode('utf-8')
 
-
 def decode_and_save_base64(base64_str, save_path):
     with open(save_path, "wb") as file:
         file.write(base64.b64decode(base64_str))
 
-
+# Set default payload values
-
-    # Set default payload values
 default_payload = {
     "prompt": "",
     "seed": -1,  # Random seed
@@ -64,7 +59,7 @@ default_payload = {
     "restore_faces": False,
     "override_settings": {},
     "override_settings_restore_afterwards": True,
-    }
+}
 
 def update_negative_prompt(model_name):
     if model_name in model_negative_prompts:
@@ -74,14 +69,12 @@ def update_negative_prompt(model_name):
 def parse_input(input_string):
     payload = default_payload.copy()
     prompt = []
+    include_info = "info:" in input_string
+    input_string = input_string.replace("info:", "").strip()
 
     matches = re.finditer(r"(\w+):", input_string)
     last_index = 0
 
-    script_args = [0, "", [], 0, "", [], 0, "", [], True, False, False, False, False, False, False, 0, False]
-    script_name = None
-
-
     script_args = [0, "", [], 0, "", [], 0, "", [], True, False, False, False, False, False, False, 0, False]
     script_name = None
 
@@ -145,15 +138,13 @@ def parse_input(input_string):
         payload["script_name"] = script_name
         payload["script_args"] = script_args
 
-    return payload
+    return payload, include_info
 
 
-def create_caption(payload, user_name, user_id, info):
+
+def create_caption(payload, user_name, user_id, info, include_info):
     caption = f"**[{user_name}](tg://user?id={user_id})**\n\n"
     prompt = payload["prompt"]
-    print(payload["prompt"])
-    print(info)
-    # Steps: 3, Sampler: Euler, CFG scale: 7.0, Seed: 4094161400, Size: 512x512, Model hash: 15012c538f, Model: realisticVisionV60B1_v51VAE, Denoising strength: 0.35, Version: v1.8.0-1-g20cdc7c
 
     # Define a regular expression pattern to match the seed value
     seed_pattern = r"Seed: (\d+)"
@@ -164,13 +155,15 @@ def create_caption(payload, user_name, user_id, info):
     # Check if a match was found and extract the seed value
     if match:
         seed_value = match.group(1)
-        print(f"Seed value: {seed_value}")
         caption += f"**{seed_value}**\n"
     else:
         print("Seed value not found in the info string.")
 
     caption += f"**{prompt}**\n"
 
+    if include_info:
+        caption += f"\nFull Payload:\n`{payload}`\n"
+
     if len(caption) > 1024:
         caption = caption[:1021] + "..."
 
@@ -186,7 +179,6 @@ def call_api(api_endpoint, payload):
         print(f"API call failed: {e}")
         return None
 
-
 def process_images(images, user_id, user_name):
     def generate_unique_name():
         unique_id = str(uuid.uuid4())[:7]
@@ -206,6 +198,7 @@ def process_images(images, user_id, user_name):
 
         return word, response2.json().get("info")
 
+
 @app.on_message(filters.command(["draw"]))
 def draw(client, message):
     msgs = message.text.split(" ", 1)
@@ -213,8 +206,7 @@ def draw(client, message):
         message.reply_text("Format :\n/draw < text to image >\nng: < negative (optional) >\nsteps: < steps value (1-70, optional) >")
         return
 
-    payload = parse_input(msgs[1])
+    payload, include_info = parse_input(msgs[1])
-    print(payload)
 
     # Check if xds is used in the payload
     if "xds" in msgs[1].lower():
@@ -227,14 +219,13 @@ def draw(client, message):
     if r:
         for i in r["images"]:
             word, info = process_images([i], message.from_user.id, message.from_user.first_name)
-            caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info)
+            caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info, include_info)
             message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
         K.delete()
     else:
         message.reply_text("Failed to generate image. Please try again later.")
         K.delete()
 
-
 @app.on_message(filters.command(["img"]))
 def img2img(client, message):
     if not message.reply_to_message or not message.reply_to_message.photo:
@@ -246,12 +237,8 @@ def img2img(client, message):
         message.reply_text("dont FAIL in life")
         return
 
-    payload = parse_input(msgs[1])
+    payload, include_info = parse_input(msgs[1])
-    print(f"input:\n{payload}")
     photo = message.reply_to_message.photo
-    # prompt_from_reply = message.reply_to_message.
-    # orginal_prompt = app.reply_to_message.message
-    # print(orginal_prompt)
     photo_file = app.download_media(photo)
     init_image = encode_file_to_base64(photo_file)
     os.remove(photo_file)  # Clean up downloaded image file
@@ -264,7 +251,7 @@ def img2img(client, message):
     if r:
         for i in r["images"]:
             word, info = process_images([i], message.from_user.id, message.from_user.first_name)
-            caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info)
+            caption = create_caption(payload, message.from_user.first_name, message.from_user.id, info, include_info)
             message.reply_photo(photo=f"{IMAGE_PATH}/{word}.png", caption=caption)
         K.delete()
     else:
@@ -278,7 +265,6 @@ async def get_models(client, message):
         response = requests.get(f"{SD_URL}/sdapi/v1/sd-models")
         response.raise_for_status()
         models_json = response.json()
-        print(models_json)
         buttons = [
             [InlineKeyboardButton(model["title"], callback_data=model["model_name"])]
             for model in models_json
@@ -287,7 +273,6 @@ async def get_models(client, message):
     except requests.RequestException as e:
         await message.reply_text(f"Failed to get models: {e}")
 
-
 @app.on_callback_query()
 async def process_callback(client, callback_query):
     sd_model_checkpoint = callback_query.data
@@ -305,19 +290,58 @@ async def process_callback(client, callback_query):
         await callback_query.message.reply_text(f"Failed to set checkpoint: {e}")
         print(f"Error setting checkpoint: {e}")
 
-
 @app.on_message(filters.command(["info_sd_bot"]))
 async def info(client, message):
     await message.reply_text("""
-now support for xyz scripts, see [sd wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#xyz-plot) !
+**Stable Diffusion Bot Commands and Options:**
-currently supported 
-`xsr` - search replace text/emoji in the prompt, more info [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#prompt-sr) 
-`xds` - denoise strength, only valid for img2img
-`xsteps` - steps
-**note** limit the overall `steps:` to lower value (10-20) for big xyz plots
 
-aside from that you can use the usual `ng`, `ds`, `cfg`, `steps` for single image generation.
+1. **/draw <prompt> [options]**
+   - Generates an image based on the provided text prompt.
+   - **Options:**
+     - `ng:<negative_prompt>` - Add a negative prompt to avoid specific features.
+     - `steps:<value>` - Number of steps for generation (1-70).
+     - `ds:<value>` - Denoising strength (0-1.0).
+     - `cfg:<value>` - CFG scale (1-30).
+     - `info:` - Include full payload information in the caption.
+
+   **Example:** `/draw beautiful sunset ng:ugly steps:30 ds:0.5 info:`
+
+2. **/img <prompt> [options]**
+   - Generates an image based on an existing image and the provided text prompt.
+   - **Options:**
+     - `ds:<value>` - Denoising strength (0-1.0).
+     - `steps:<value>` - Number of steps for generation (1-70).
+     - `cfg:<value>` - CFG scale (1-30).
+     - `info:` - Include full payload information in the caption.
+
+   **Example:** Reply to an image with `/img modern art ds:0.2 info:`
+
+3. **/getmodels**
+   - Retrieves and lists all available models for the user to select.
+   - User can then choose a model to set as the current model for image generation.
+
+4. **/info_sd_bot**
+   - Provides detailed information about the bot's commands and options.
+
+**Additional Options for Advanced Users:**
+- **x/y/z plot options** for advanced generation:
+  - `xsr:<value>` - Search and replace text/emoji in the prompt.
+  - `xsteps:<value>` - Steps value for x/y/z plot.
+  - `xds:<value>` - Denoising strength for x/y/z plot.
+  - `xcfg:<value>` - CFG scale for x/y/z plot.
+  - `nl` - No legend in x/y/z plot.
+  - `ks` - Keep sub-images in x/y/z plot.
+  - `rs` - Set random seed for sub-images in x/y/z plot.
+
+**Notes:**
+- Use lower step values (10-20) for large x/y/z plots to avoid long processing times.
+- Use `info:` option to include full payload details in the caption of generated images for better troubleshooting and analysis.
+
+**Example for Advanced Users:** `/draw beautiful landscape xsteps:10 xds:0.5 xcfg:7 nl ks rs info:`
+
+For more details, visit the [Stable Diffusion Wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#xyz-plot).
+
+Enjoy creating with Stable Diffusion Bot!
 """, disable_web_page_preview=True)
 
-
 app.run()