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added type hinting and docstrings

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phixxy 2024-02-11 23:11:04 -08:00
parent 40b6aaab38
commit b023724e09
1 changed files with 197 additions and 60 deletions
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253
extensions/stable_diffusion.py
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@ -20,7 +20,7 @@ class StableDiffusion(commands.Cog):
self.default_neg_prompt = "easynegative, badhandv4, verybadimagenegative_v1.3"
self.folder_setup()
def folder_setup(self):
def folder_setup(self) -> None:
try:
if not os.path.exists(self.working_dir):
os.mkdir(self.working_dir)
@ -31,42 +31,91 @@ class StableDiffusion(commands.Cog):
except:
self.bot.logger.exception("StableDiffusion failed to make directories")
async def answer_question(self, topic, model="gpt-3.5-turbo"): # Only needed for draw command
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {os.getenv("openai.api_key")}',
}
data = {
"model": model,
"messages": [{"role": "user", "content": topic}]
}
url = "https://api.openai.com/v1/chat/completions"
try:
async with self.bot.http_session.post(url, headers=headers, json=data) as resp:
response_data = await resp.json()
response = response_data['choices'][0]['message']['content']
return response
except Exception as error:
return "Error in answer question in stable_diffusion"
"""
answer_question asynchronously calls the OpenAI API to get a response for the given question/topic using the specified model.
def get_kv_from_ctx(self, ctx):
try:
prompt = ctx.message.content.split(" ", maxsplit=1)[1]
kv_strings = list(filter(lambda x: '=' in x,prompt.split(' ')))
key_value_pairs = dict(map(lambda a: a.replace(',','').split('='),kv_strings))
return key_value_pairs
except:
return None
Parameters:
- topic (str): The question or topic to get a response for.
- model (str): The OpenAI model to use. Defaults to "gpt-3.5-turbo".
def get_prompt_from_ctx(self, ctx):
try:
prompt = ctx.message.content.split(" ", maxsplit=1)[1]
prompt = ' '.join(list(filter(lambda x: '=' not in x,prompt.split(' '))))
return prompt
except:
return None
Returns:
- str: The response from the OpenAI API.
async def my_open_img_file(self, path):
Raises:
- Exception: If an error occurs when calling the API.
"""
async def answer_question(self, topic: str, model: str="gpt-3.5-turbo") -> str: # Only needed for draw command
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {os.getenv("openai.api_key")}',
}
data = {
"model": model,
"messages": [{"role": "user", "content": topic}]
}
url = "https://api.openai.com/v1/chat/completions"
try:
async with self.bot.http_session.post(url, headers=headers, json=data) as resp:
response_data = await resp.json()
response = response_data['choices'][0]['message']['content']
return response
except:
return "Error in answer question in stable_diffusion"
"""
Gets key-value pairs from a context message.
Parses the message content to extract key-value pairs separated by '='.
Returns a dict of key-value pairs.
Parameters:
ctx (commands.Context): The context object containing the message.
Returns:
dict: A dict of key-value pairs extracted from the message.
"""
def get_kv_from_ctx(self, ctx: commands.Context) -> dict:
try:
prompt = ctx.message.content.split(" ", maxsplit=1)[1]
kv_strings = list(filter(lambda x: '=' in x,prompt.split(' ')))
key_value_pairs = dict(map(lambda a: a.replace(',','').split('='),kv_strings))
return key_value_pairs
except:
return None
"""
Gets prompt from context message by splitting on spaces and removing key-value pairs.
Splits the context message content on spaces, takes the second part after
the command name. Removes any key-value pairs separated by '=' from the prompt.
Parameters:
ctx (commands.Context): The context object containing the message.
Returns:
str: The prompt text extracted from the context message.
"""
def get_prompt_from_ctx(self, ctx: commands.Context) -> str:
try:
prompt = ctx.message.content.split(" ", maxsplit=1)[1]
prompt = ' '.join(list(filter(lambda x: '=' not in x,prompt.split(' '))))
return prompt
except:
return None
"""
Encodes an image file from the given path into a base64 string.
Opens the image file, encodes it into a base64 string, closes the image,
and returns the encoded string.
Parameters:
path (str): The path to the image file.
Returns:
str: The base64 encoded image data.
"""
async def my_open_img_file(self, path: str) -> str:
img = Image.open(path)
encoded = ""
with io.BytesIO() as output:
@ -76,12 +125,27 @@ class StableDiffusion(commands.Cog):
img.close()
return encoded
async def look_at(self, ctx, look=False):
"""
Looks at an image attachment in the given context and returns metadata about it.
If the look parameter is True, this iterates through the attachments
in the context checking for image files. If an image is found, it is
downloaded and encoded to base64. The image is then sent to the
Stable Diffusion API to generate a caption, which is returned in the metadata.
Parameters:
ctx (commands.Context): The context containing the command and attachments.
look (bool): Whether to look at images and generate metadata.
Returns:
str: The metadata string containing any generated image captions.
"""
async def look_at(self, ctx: commands.Context, look: bool=False) -> str:
metadata = ""
if look:
url = self.stable_diffusion_url
if url == "disabled":
return
return "Stable Diffusion is disabled, could not look at image"
for attachment in ctx.attachments:
if attachment.url.endswith(('.jpg', '.png')):
self.bot.logger.debug("image seen")
@ -110,7 +174,15 @@ class StableDiffusion(commands.Cog):
return "ERROR: CLIP may not be running. Could not look at image."
return metadata
async def generate_prompt(self):
"""
Generates a prompt for use with an AI art generator.
Combines randomly selected question prompts with an AI assistant's response,
then optionally removes abstract keywords and adds modifiers like "masterpiece"
to create a prompt that describes a detailed scene or character for the AI art
generator.
"""
async def generate_prompt(self) -> str:
choice1 = "Give me 11 keywords I can use to generate art using AI. They should all be related to one piece of art. Please only respond with the keywords and no other text. Be sure to use keywords that really describe what the art portrays. Keywords should be comma separated with no other text!"
choice2 = "Describe a creative scene, use only one sentence"
choice3 = "Give me comma seperated keywords describing an imaginary piece of art. Only return the keywords and no other text."
@ -128,13 +200,12 @@ class StableDiffusion(commands.Cog):
prompt = prompt + ", masterpiece, studio quality"
return prompt
@commands.command(
description="Change Model",
help="Choose from a list of stable diffusion models.",
help="Changes the Stable Diffusion model used by the bot.",
brief="Change stable diffusion model"
)
async def change_model(self, ctx, model_choice='0'): # Needs to be a configurable list of models
async def change_model(self, ctx: commands.Context, model_choice: str='0') -> None: # Needs to be a configurable list of models
model_choices = {
'1': ("deliberate_v2.safetensors [9aba26abdf]", "DeliberateV2"),
'2': ("flat2DAnimerge_v30.safetensors [5dd56bfa12]", "Flat2D"),
@ -170,10 +241,10 @@ class StableDiffusion(commands.Cog):
@commands.command(
description="Lora",
help="List the stable diffusion loras.",
help="Lists available Stable Diffusion loras and their trigger words.",
brief="List the stable diffusion loras"
)
async def lora(self, ctx):
async def lora(self, ctx: commands.Context) -> None:
lora_choices = {
'0': ("Lora Name", "Trigger Words"),
'1': ("<lora:rebecca:1>", "rebecca (cyberpunk)"),
@ -186,7 +257,18 @@ class StableDiffusion(commands.Cog):
output += lora_options
await ctx.send(output)
async def get_image_from_ctx(self, ctx):
"""
Gets the image URL from a Discord context.
Checks for an image URL in attachments or message content.
Args:
ctx: Discord context
Returns:
str: Image URL or None
"""
async def get_image_from_ctx(self, ctx: commands.Context) -> str:
if ctx.message.attachments:
file_url = ctx.message.attachments[0].url
return file_url
@ -197,7 +279,17 @@ class StableDiffusion(commands.Cog):
self.bot.logger.info("Couldn't find image.")
return None
async def txt2img(self, ctx, prompt):
"""
Sends an image generation request to the Stable Diffusion API.
Args:
ctx: The Discord context.
prompt: The text prompt to generate the image from.
Returns:
None. Sends the generated image back to the user.
"""
async def txt2img(self, ctx: commands.Context, prompt: str) -> None:
url = f"{self.stable_diffusion_url}/sdapi/v1/txt2img"
key_value_pairs = self.get_kv_from_ctx(ctx)
headers = {'Content-Type': 'application/json'}
@ -226,7 +318,16 @@ class StableDiffusion(commands.Cog):
await self.send_generated_image(ctx, r['images'], prompt)
async def save_image(self, url):
"""
Saves an image from a URL to disk.
Args:
url: The URL of the image to save.
Returns:
The path to the saved image file.
"""
async def save_image(self, url: str) -> str:
async with self.bot.http_session.get(url) as response:
image_name = self.working_dir + str(time.time_ns()) + ".png"
with open(image_name, 'wb') as out_file:
@ -238,7 +339,22 @@ class StableDiffusion(commands.Cog):
out_file.write(chunk)
return image_name
async def img2img(self, ctx, prompt):
"""
Generates an image by modifying an initial image based on an optional
text prompt.
Sends a request to the Stable Diffusion API to modify the initial image
according to the given prompt. The modified image is then sent back to
the user.
Args:
ctx: The Discord context.
prompt: The text prompt to guide image modification.
Returns:
None. Sends the generated image back to the user.
"""
async def img2img(self, ctx: commands.Context, prompt: str) -> None:
url = f"{self.stable_diffusion_url}/sdapi/v1/img2img"
file_url = await self.get_image_from_ctx(ctx)
image_name = await self.save_image(file_url)
@ -273,7 +389,20 @@ class StableDiffusion(commands.Cog):
await self.send_generated_image(ctx, r['images'], prompt)
async def send_generated_image(self, ctx, images, prompt):
"""
Sends a generated image file to Discord along with the prompt.
Saves the image file locally first, logs the prompt and filename,
then sends the image and prompt to Discord.
Args:
ctx: The Discord context.
images: List of base64 encoded image data.
prompt: The text prompt used to generate the image.
Returns: None.
"""
async def send_generated_image(self, ctx: commands.Context, images: dict, prompt: str) -> None:
for i in images:
image = Image.open(io.BytesIO(base64.b64decode(i.split(",", 1)[0])))
try:
@ -298,7 +427,16 @@ class StableDiffusion(commands.Cog):
await ctx.send(f'Generated by: {ctx.author.name}\nPrompt: {prompt}', file=f)
def get_negative_prompt(self):
"""
Gets a negative prompt text from a file.
If the file does not exist, it will be created with
default negative prompt text.
Returns:
str: The negative prompt text loaded from the file.
"""
def get_negative_prompt(self) -> str:
try:
neg_prompt_file = f"{self.data_dir}negative_prompt.txt"
with open(neg_prompt_file, 'r') as f:
@ -310,13 +448,12 @@ class StableDiffusion(commands.Cog):
negative_prompt = self.default_neg_prompt
return negative_prompt
@commands.command(
description="Imagine",
help="Generate an image using stable diffusion. You can add keyword arguments to your prompt and they will be treated as stable diffusion options. Usage !imagine (topic)",
brief="Generate an image"
)
async def imagine(self, ctx):
description="Imagine",
help="Generate an image using stable diffusion. You can add keyword arguments to your prompt and they will be treated as stable diffusion options. Usage !imagine (topic)",
brief="Generate an image"
)
async def imagine(self, ctx: commands.Context) -> None:
url = self.stable_diffusion_url
if url == "disabled":
await ctx.send("Command is currently disabled")
@ -335,7 +472,7 @@ class StableDiffusion(commands.Cog):
help="Get better understanding of what the bot \"sees\" when you post an image! (Runs it through CLIP) Usage !describe (image link)",
brief="Describe image"
)
async def describe(self, ctx):
async def describe(self, ctx: commands.Context) -> None:
url = self.stable_diffusion_url
if url == "disabled":
await ctx.send("Command is currently disabled")
@ -359,7 +496,7 @@ class StableDiffusion(commands.Cog):
help="Reimagine an image as something else. One example is reimagining a picture as anime. This command can be hard to use. \nUsage: !reimagine (image link) (topic)\nExample: !reimagine (image link) anime",
brief="Reimagine an image"
)
async def reimagine(self, ctx):
async def reimagine(self, ctx: commands.Context) -> None:
url = self.stable_diffusion_url
if url == "disabled":
await ctx.send("Command is currently disabled")
@ -375,7 +512,7 @@ class StableDiffusion(commands.Cog):
help="Changes the negative prompt for imagine across all channels",
brief="Change the negative prompt for imagine"
)
async def negative_prompt(self, ctx, *args):
async def negative_prompt(self, ctx: commands.Context, *args: list) -> None:
message = ' '.join(args)
if not message:
message = self.default_neg_prompt
@ -385,6 +522,6 @@ class StableDiffusion(commands.Cog):
await ctx.send("Changed negative prompt to " + message)
async def setup(bot):
async def setup(bot: commands.Bot):
await bot.add_cog(StableDiffusion(bot))