Moved draw command to stable_diffusion.py

This commit is contained in:
phixxy 2024-01-17 18:49:45 -08:00
parent cec84d35e0
commit 499daabe96
2 changed files with 87 additions and 369 deletions

View file

@ -4,11 +4,35 @@ import base64
import aiohttp
import os
import time
import random
from PIL import Image, PngImagePlugin
from discord.ext import commands
import discord
async def answer_question(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:
http_session = aiohttp.ClientSession()
async with 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 await handle_error(error)
async def handle_error(error):
print(error)
current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
@ -79,6 +103,69 @@ async def look_at(ctx, look=False):
return metadata
@commands.command(
description="Draw",
help="Generates a picture using stable diffusion and gpt 3.5. It generates a list of 10 random artistic words and feeds them into stable diffusion. Usage: !draw (amount of pictures)",
brief="Generate a random image"
)
async def draw(ctx):
url = os.getenv('stablediffusion_url')
if url == "disabled":
return
try:
if " " in ctx.message.content:
amount = ctx.message.content.split(" ", maxsplit=1)[1]
if int(amount) > 4:
await ctx.send("No, that's too many.")
return
else:
amount = 1
await ctx.send("Please be patient this may take some time!")
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."
choice4 = "Describe a unique character and an environment in one sentence"
choice5 = "Describe a nonhuman character and an environment in one sentence"
prompt = random.choice([choice1,choice2,choice3,choice4,choice5])
prompt = await answer_question(prompt)
if random.randint(0,9):
prompt = prompt.replace("abstract, ", "")
prompt = prompt.replace("AI, ", "")
if "." in prompt:
prompt = prompt.replace(".",",")
prompt = prompt + " masterpiece, studio quality"
else:
prompt = prompt + ", masterpiece, studio quality"
negative_prompt = "easynegative verybadimagenegative_v1.3"
payload = {"prompt": prompt,"steps": 25, "negative_prompt": negative_prompt,"batch_size": amount}
try:
http_session = aiohttp.ClientSession()
async with http_session.post(url=f'{url}/sdapi/v1/txt2img', json=payload) as resp:
r = await resp.json()
for i in r['images']:
image = Image.open(io.BytesIO(base64.b64decode(i.split(",",1)[0])))
png_payload = {"image": "data:image/png;base64," + i}
async with http_session.post(url=f'{url}/sdapi/v1/png-info', json=png_payload) as resp2:
response2 = await resp2.json()
pnginfo = PngImagePlugin.PngInfo()
pnginfo.add_text("parameters", response2.get("info"))
my_filename = "tmp/" + str(len(os.listdir("tmp/"))) + ".png"
image.save(my_filename, pnginfo=pnginfo)
'''channel_vars = await get_channel_config(ctx.channel.id)
if channel_vars["ftp_enabled"]:
await upload_ftp_ai_images(my_filename, prompt)'''
with open(my_filename, "rb") as fh:
f = discord.File(fh, filename=my_filename)
await ctx.send(file=f)
await ctx.send(prompt)
except Exception as error:
await handle_error(error)
await ctx.send("My image generation service may not be running.")
except Exception as error:
await handle_error(error)
await ctx.send('Did you mean to use !imagine?. Usage: !draw (number)')
@commands.command(
description="Change Model",
help="Choose from a list of stable diffusion models.",