davidrd123/MoonLanding-Flux-aitoolkit-v1

moonlanding_style_v1

Model trained with AI Toolkit by Ostris

Prompt

[trigger] astronaut on lunar surface, deep footprints, Earth in background, stark shadows

Prompt

[trigger] lunar module on moon, American flag nearby, high contrast, grainy texture

Prompt

[trigger] modern cityscape, harsh shadows, high contrast, Earth curvature visible

Prompt

[trigger] desert landscape, astronaut-like figure, stark lighting, black sky

Prompt

[trigger] underwater scene, diver in bulky suit, particles floating, limited visibility

Prompt

[trigger] mountain climber on peak, dressed like astronaut, pitch black background

Prompt

[trigger] laboratory interior, scientists in protective suits, cluttered instruments

Prompt

[trigger] sports event, athlete in motion, crowd blurred, flare from stadium lights

Prompt

[trigger] forest exploration, person in white suit taking samples, mist in background

Prompt

[trigger] spacewalk, astronaut tethered to spacecraft, Earth below, harsh sunlight

Prompt

[trigger] arctic expedition, long shadows on snow, figure planting flag, pale sky

Prompt

[trigger] futuristic car on barren landscape, Earth in sky, high contrast scene

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/MoonLanding-Flux-aitoolkit-v1', weight_name='moonlanding_style_v1.safetensors')
image = pipeline('[trigger] astronaut on lunar surface, deep footprints, Earth in background, stark shadows').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers