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tami-p40 2024-05-26 09:00:32 +03:00
parent ca1c34b91b
commit 814a779b47
1 changed files with 79 additions and 55 deletions
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main.py
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@ -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
# see civit.ai model page for specific emmbedings recommnded for each model
# Model-specific embeddings for negative prompts
model_negative_prompts = {
"Anything-Diffusion": "",
"Deliberate": "",
@ -35,36 +34,32 @@ 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
"negative_prompt": "extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs",
"enable_hr": False,
"Sampler": "DPM++ SDE Karras",
"denoising_strength": 0.35,
"batch_size": 1,
"n_iter": 1,
"steps": 35,
"cfg_scale": 7,
"width": 512,
"height": 512,
"restore_faces": False,
"override_settings": {},
"override_settings_restore_afterwards": True,
}
"prompt": "",
"seed": -1, # Random seed
"negative_prompt": "extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs",
"enable_hr": False,
"Sampler": "DPM++ SDE Karras",
"denoising_strength": 0.35,
"batch_size": 1,
"n_iter": 1,
"steps": 35,
"cfg_scale": 7,
"width": 512,
"height": 512,
"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])
print(payload)
payload, include_info = parse_input(msgs[1])
# 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])
print(f"input:\n{payload}")
payload, include_info = parse_input(msgs[1])
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) !
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
**Stable Diffusion Bot Commands and Options:**
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()