import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("davidrd123/ApolloSchematics-Flux-Fal")
prompt = "APLSCM"
image = pipe(prompt).images[0]ApolloSchematics Flux Fal
Model description
LoRA trained on schematics for the Apollo Missions
Trigger words
You should use APLSCM to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Base model
black-forest-labs/FLUX.1-dev