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("monicho/retrofuture3")
prompt = "retro future"
image = pipe(prompt).images[0]retrofuture3
Model description
A small LoRa trained on combined retro future and old soviet pictures based on flux dev
Trigger words
You should use retro future 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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Model tree for monicho/retrofuture3
Base model
black-forest-labs/FLUX.1-dev