martintomov/retrofuturism-flux
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How to use martintomov/retrofuturism-flux with Diffusers:
pip install -U diffusers transformers accelerate
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("martintomov/retrofuturism-flux")
prompt = "photograph, background of Earth from space, red car on the Moon watching Earth, retrofuturism"
image = pipe(prompt).images[0]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("martintomov/retrofuturism-flux")
prompt = "photograph, background of Earth from space, red car on the Moon watching Earth, retrofuturism"
image = pipe(prompt).images[0]Trained for 3000 steps on NVIDIA RTX 4090 (24GB VRAM), Learning Rate 1e-4
Link to Retrofuturism V2
.jpg 512x512 images and 25 .txt captionsYou should use retrofuturism to trigger the image generation






Base model
black-forest-labs/FLUX.1-dev