---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: m00nl4nd1ng
widget:
- text: astronaut hamster in the style of m00nl4nd1ng
  output:
    url: images/example_6adktoq5m.png
- text: astronaut hamster in the style of m00nl4nd1ng
  output:
    url: images/example_x6tmtc1o5.png
- text: astronaut hamster in the style of m00nl4nd1ng
  output:
    url: images/example_dqvgnsbs8.png
- text: astronaut cat in the style of m00nl4nd1ng
  output:
    url: images/example_an1jkdgmn.png
- text: astronaut cat in the style of m00nl4nd1ng
  output:
    url: images/example_bxaligavs.png
- text: astronaut pig in the style of m00nl4nd1ng
  output:
    url: images/example_g8oqvjp4u.png
- text: >-
    astronaut cat riding in a sparkling new 1956 BMW 507 in the style of
    m00nl4nd1ng
  output:
    url: images/example_x25mphdwx.png
- text: >-
    astronaut hamster riding in a Pagani Zonda HP Barchetta on the Moon in the
    style of m00nl4nd1ng
  output:
    url: images/example_ci12lxbbe.png

---

# Flux Moonlanding76 Replicate

<!-- <Gallery /> -->

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `m00nl4nd1ng` to trigger the image generation.


## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('davidrd123/Flux-MoonLanding76-Replicate', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)