---
language:
- en
library_name: diffusers
license: other
license_name: flux-1-dev-non-commercial-license
license_link: LICENSE.md
---
## Inference code

```python
from diffusers import FluxPipeline
import torch

pipeline = FluxPipeline.from_pretrained(
    "aifeifei798/DarkIdol-flux-v1", torch_dtype=torch.bfloat16
).to("cuda")
image = pipeline(
    prompt="the photo is a 18 yo jpop girl",
    guidance_scale=3.5,
    num_inference_steps=4,
    height=880,
    width=1184,
    max_sequence_length=512,
    generator=torch.manual_seed(0),
).images[0]
image.save("merged_flux.png")
```

## Documentation

* https://huggingface.co./docs/diffusers/main/en/api/pipelines/flux
* https://huggingface.co./docs/diffusers/main/en/api/models/flux_transformer