support flux example

[marigoold]

Summary by CodeRabbit

• New Features

  • Command-line enhancements for image generation, including options to specify data type, model revision, and local file restrictions.
  • Introduction of a comprehensive README for running the FLUX model, detailing setup, execution, and performance comparisons.
  • New script for generating images with the Flux model, allowing user-defined parameters for better usability.

• Bug Fixes

  • Improved handling of module availability checks, enhancing efficiency.

• Documentation

  • Added detailed instructions for the FLUX model's setup and execution to assist users.

[coderabbitai[bot]]

Walkthrough

The recent updates enhance flexibility and usability across several scripts. Key improvements include new command-line arguments in the image generation script, the introduction of a README for the FLUX model, and optimizations in module availability checks. These changes streamline user interactions with the scripts, allowing for better control over model parameters and environment setup, ultimately leading to improved performance and ease of use.

Changes

Files	Change Summary
benchmarks/text_to_image.py	Added command-line arguments for --dtype, --revision, and --local-files-only; modified load_pipe and main functions accordingly.
onediff_diffusers_extensions/examples/flux/README.md	Introduced a comprehensive README for running the FLUX model, detailing setup, execution methods, performance comparisons, and dynamic shape support.
onediff_diffusers_extensions/examples/text_to_image_flux.py	Implemented a command-line interface for image generation with options for model and image parameters; supports multiple resolutions.
src/onediff/utils/import_utils.py	Changed _oneflow_available to a lazy evaluation model, improving efficiency of module availability checks.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant CLI
    participant LoadPipe
    participant Model

    User->>CLI: Execute command with parameters
    CLI->>LoadPipe: Pass parameters (dtype, revision, local_files_only)
    LoadPipe->>Model: Load model with given parameters
    Model-->>LoadPipe: Model ready
    LoadPipe-->>CLI: Pipeline loaded
    CLI-->>User: Execution complete

🐰 In the meadow, changes bloom bright,
New arguments added, oh what a sight!
With headers and flags, the scripts now sing,
A dance of code, like spring's joyful fling.
So hop along, dear friends, let's cheer,
For enhancements that bring us all near! 🌼✨

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