skynet/skynet/cli.py

269 lines
6.9 KiB
Python
Executable File

import json
import logging
import click
from .config import (
load_skynet_toml,
set_hf_vars,
ConfigParsingError,
)
from .constants import (
# TODO, more conventional to make these private i'm pretty
# sure according to pep8?
DEFAULT_IPFS_DOMAIN,
DEFAULT_EXPLORER_DOMAIN,
DEFAULT_CONFIG_PATH,
MODELS,
)
@click.group()
def skynet(*args, **kwargs):
pass
@click.command()
@click.option('--model', '-m', default=list(MODELS.keys())[-1])
@click.option(
'--prompt',
'-p',
default='a red old tractor in a sunny wheat field',
)
@click.option('--output', '-o', default='output.png')
@click.option('--width', '-w', default=512)
@click.option('--height', '-h', default=512)
@click.option('--guidance', '-g', default=10.0)
@click.option('--steps', '-s', default=26)
@click.option('--seed', '-S', default=None)
def txt2img(*args, **kwargs):
from skynet.dgpu import utils
config = load_skynet_toml()
set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
utils.txt2img(config.dgpu.hf_token, **kwargs)
@click.command()
@click.option(
'--model',
'-m',
default=list(MODELS.keys())[-2]
)
@click.option(
'--prompt',
'-p',
default='a red old tractor in a sunny wheat field',
)
@click.option('--input', '-i', default='input.png')
@click.option('--output', '-o', default='output.png')
@click.option('--strength', '-Z', default=1.0)
@click.option('--guidance', '-g', default=10.0)
@click.option('--steps', '-s', default=26)
@click.option('--seed', '-S', default=None)
def img2img(model, prompt, input, output, strength, guidance, steps, seed):
from skynet.dgpu import utils
config = load_skynet_toml()
set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
utils.img2img(
config.dgpu.hf_token,
model=model,
prompt=prompt,
img_path=input,
output=output,
strength=strength,
guidance=guidance,
steps=steps,
seed=seed
)
@click.command()
@click.option('--model', '-m', default=list(MODELS.keys())[-3])
@click.option(
'--prompt', '-p', default='a red old tractor in a sunny wheat field')
@click.option('--input', '-i', default='input.png')
@click.option('--mask', '-M', default='mask.png')
@click.option('--output', '-o', default='output.png')
@click.option('--strength', '-Z', default=1.0)
@click.option('--guidance', '-g', default=10.0)
@click.option('--steps', '-s', default=26)
@click.option('--seed', '-S', default=None)
def inpaint(model, prompt, input, mask, output, strength, guidance, steps, seed):
from skynet.dgpu import utils
config = load_skynet_toml()
set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
utils.inpaint(
config.dgpu.hf_token,
model=model,
prompt=prompt,
img_path=input,
mask_path=mask,
output=output,
strength=strength,
guidance=guidance,
steps=steps,
seed=seed
)
@click.command()
@click.option('--input', '-i', default='input.png')
@click.option('--output', '-o', default='output.png')
@click.option('--model', '-m', default='weights/RealESRGAN_x4plus.pth')
def upscale(input, output, model):
from skynet.dgpu import utils
utils.upscale(
img_path=input,
output=output,
model_path=model)
@skynet.command()
def download():
from skynet.dgpu import utils
config = load_skynet_toml()
set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
utils.download_all_models(config.dgpu.hf_token, config.dgpu.hf_home)
@skynet.command()
def queue():
import requests
config = load_skynet_toml()
node_url = config.user.node_url
resp = requests.post(
f'{node_url}/v1/chain/get_table_rows',
json={
'code': 'gpu.scd',
'table': 'queue',
'scope': 'gpu.scd',
'json': True
}
)
print(json.dumps(resp.json(), indent=4))
@skynet.command()
@click.argument('request-id')
def status(request_id: int):
import requests
config = load_skynet_toml()
node_url = config.user.node_url
resp = requests.post(
f'{node_url}/v1/chain/get_table_rows',
json={
'code': 'gpu.scd',
'table': 'status',
'scope': request_id,
'json': True
}
)
print(json.dumps(resp.json(), indent=4))
@skynet.group()
def run(*args, **kwargs):
pass
@run.command()
def db():
from skynet.frontend.chatbot.db import open_new_database
logging.basicConfig(level=logging.INFO)
with open_new_database(cleanup=False) as db_params:
container, passwd, host = db_params
logging.info(('skynet', passwd, host))
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='Logging level')
@click.option(
'--config-path',
'-c',
default=DEFAULT_CONFIG_PATH,
)
def dgpu(
loglevel: str,
config_path: str
):
import trio
from .dgpu import _dgpu_main
logging.basicConfig(level=loglevel)
config = load_skynet_toml(file_path=config_path).dgpu
set_hf_vars(config.hf_token, config.hf_home)
trio.run(_dgpu_main, config)
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
def telegram(
loglevel: str,
):
import asyncio
from skynet.frontend.chatbot.telegram import TelegramChatbot
from skynet.frontend.chatbot.db import FrontendUserDB
logging.basicConfig(level=loglevel)
config = load_skynet_toml().telegram
async def _async_main():
async with FrontendUserDB(
config.db_user,
config.db_pass,
config.db_host,
config.db_name
) as db:
bot = TelegramChatbot(config, db)
await bot.run()
asyncio.run(_async_main())
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
def discord(
loglevel: str,
):
import asyncio
from skynet.frontend.chatbot.discord import DiscordChatbot
from skynet.frontend.chatbot.db import FrontendUserDB
logging.basicConfig(level=loglevel)
config = load_skynet_toml().discord
async def _async_main():
async with FrontendUserDB(
config.db_user,
config.db_pass,
config.db_host,
config.db_name
) as db:
bot = DiscordChatbot(config, db)
await bot.run()
asyncio.run(_async_main())
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
def pinner(loglevel):
import trio
from leap.hyperion import HyperionAPI
from .ipfs import AsyncIPFSHTTP
from .ipfs.pinner import SkynetPinner
config = load_skynet_toml()
hyperion_url = config.pinner.hyperion_url
ipfs_url = config.pinner.ipfs_url
logging.basicConfig(level=loglevel)
ipfs_node = AsyncIPFSHTTP(ipfs_url)
hyperion = HyperionAPI(hyperion_url)
pinner = SkynetPinner(hyperion, ipfs_node)
trio.run(pinner.pin_forever)