README.md

---
library_name: diffusers
---

# Flux2 Klein 4b Modular repo

This contains mellon config for A single-node Mellon block for the FLUX.2-klein-4B pipeline. 


## How to create a modular repo?

load the pipeline and save it to a new Hub repository:
```python
from diffusers import ModularPipeline

pipe = ModularPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-4B")
pipe.save_pretrained(
    "local/dir",
    repo_id="your-username/flux2-klein-auto-blocks",
    push_to_hub=True
)
```

## Generate the Mellon Config

Create and push the Mellon configuration with your desired UI types:
```python
from diffusers.modular_pipelines.mellon_node_utils import MellonPipelineConfig

mellon_config = MellonPipelineConfig.from_custom_block(
    pipe.blocks,
    mellon_types={
        "prompt": "textbox",
        "image": "image",
        "images": "image",
        "num_inference_steps": "number",
    }
)

mellon_config.save(
    local_dir="local/dir",
    repo_id="your-username/flux2-klein-auto-blocks",
    push_to_hub=True
)
```

## Review and Adjust

The generated `mellon_pipeline_config.json` may need adjustments. You can:

- Remove inputs you don't want exposed in the UI
- Add slider ranges for numeric inputs
- Add dropdown options for string inputs
- update default value for numeric inputs


## Use in Mellon

1. Drag a **Dynamic Block Node** from the ModularDiffusers section
2. Enter `your-username/flux2-klein-auto-blocks` as the repo_id
3. The node will show your configured inputs (prompt, image, num_inference_steps) and outputs (images)

## Supported Mellon Types

| Type | Input/Output | Description |
|------|--------------|-------------|
| `image` | Both | Image (PIL Image) |
| `textbox` | Input | Text input |
| `number` | Input | Numeric input |
| `slider` | Input | Slider for numeric values |
| `dropdown` | Input | Dropdown selection |
| `checkbox` | Input | Boolean toggle |
| `text` | Both | Text display |