metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: a hamster in the style of m00nl4nd1ng
output:
url: samples/1728941221216__000004000_0.jpg
- text: an astronaut hamster in the style of m00nl4nd1ng
output:
url: samples/1728941253513__000004000_1.jpg
- text: >-
woman holding a sign that says 'I LOVE PROMPTS!' in the style of
m00nl4nd1ng
output:
url: samples/1728941285835__000004000_2.jpg
- text: a hipster man with a beard, building a chair in the style of m00nl4nd1ng
output:
url: samples/1728941318139__000004000_3.jpg
- text: Cat with lasers shooting out of its eyes in the style of m00nl4nd1ng
output:
url: samples/1728941350479__000004000_4.jpg
- text: >-
sports event, athlete in motion, crowd blurred, flare from stadium lights
in the style of m00nl4nd1ng
output:
url: samples/1728941382823__000004000_5.jpg
- text: a man holding a sign that says, 'this is a sign'
output:
url: samples/1728941415152__000004000_6.jpg
- text: >-
a pig, in a post apocalyptic world, with a shotgun, in a leather jacket,
in a desert, with a motorcycle
output:
url: samples/1728941447501__000004000_7.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: m00nl4nd1ng
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
patrick_astronaut
Model trained with AI Toolkit by Ostris
Trigger words
You should use m00nl4nd1ng
to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('davidrd123/Flux-MoonLanding-Man-AiToolkit', weight_name='patrick_astronaut.safetensors')
image = pipeline('a hamster in the style of m00nl4nd1ng').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers