---
license: mit
library_name: diffusers
pipeline_tag: text-to-image
tags:
- diffusers
- pmf
- image-generation
- class-conditional
- imagenet
inference: true
---

# pMF-L-32

Self-contained Diffusers variant for **pMF-L/32** (Pixel Mean Flows).

Recommended settings: `guidance_scale=7.5`, interval `[0.2, 0.6]`, `noise_scale=4.0`.

## Load

```python
from pathlib import Path
from diffusers import DiffusionPipeline
import torch

model_dir = Path("./pMF-L-32")
pipe = DiffusionPipeline.from_pretrained(
    str(model_dir),
    local_files_only=True,
    custom_pipeline=str(model_dir / "pipeline.py"),
    trust_remote_code=True,
    torch_dtype=torch.float32,
).to("cuda")

image = pipe(
    class_labels=207,
    num_inference_steps=1,
    guidance_scale=7.5,
    guidance_interval_min=0.2,
    guidance_interval_max=0.6,
    noise_scale=4.0,
).images[0]
```