luiscape

import io
import time
import modal
import os
import torch
import diffusers

from pathlib import Path

stub = modal.Stub("local-model-mount-test")

luiscape

import io
import os
import time
from pathlib import Path

import modal
import typer

stub = modal.Stub("stable-diffusion-cli")
app = typer.Typer()

luiscape

# Runs diffusers-rs on Modal.
import os
import time
import modal
import subprocess

CARGO_PATH:str = "/root/.cargo/bin/cargo"


def _convert_clip():

luiscape

"""
Script to run batch inference using HuggingFace's zero-shot text-classification model on Modal.

Based on the tutorial: https://modal.com/docs/guide/ex/batch_inference_using_huggingface 

Goal: filter a large Hugging Face dataset for food-related images (based on the text caption).
"""
import io

import modal

luiscape

"""
Script to run batch inference using HuggingFace's zero-shot text-classification model on Modal.

Based on the tutorial: https://modal.com/docs/guide/ex/batch_inference_using_huggingface 

Goal: filter a large Hugging Face dataset for food-related images (based on the text caption).
"""
import io

import modal

luiscape

# ## Basic setup
from __future__ import annotations

import io
import os
import time
from pathlib import Path

import modal