metadata
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
Flux Moonlanding76 Replicate
- Prompt
- astronaut hamster in the style of m00nl4nd1ng
- Prompt
- astronaut hamster in the style of m00nl4nd1ng
- Prompt
- astronaut hamster in the style of m00nl4nd1ng
- Prompt
- astronaut cat in the style of m00nl4nd1ng
- Prompt
- astronaut cat in the style of m00nl4nd1ng
- Prompt
- astronaut pig in the style of m00nl4nd1ng
- Prompt
- astronaut cat riding in a sparkling new 1956 BMW 507 in the style of m00nl4nd1ng
- Prompt
- astronaut hamster riding in a Pagani Zonda HP Barchetta on the Moon in the style of m00nl4nd1ng
- Prompt
- Astronaut octopus operating a vintage space station control panel in the style of m00nl4nd1ng
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
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