FLUX.1-dev-LoRA-Cinematic-1940s

Cinematic-1940s

<div class="container"> <img src="https://cdn-uploads.huggingface.co/production/uploads/652c2a63d78452c4742cd3d3/GZInT9JHrvs5iwWOSTz-A.png" width="1024"/> </div>

Cinematic-1940s is a LoRA model finetuned to capture the essence of 1940s cinema, specifically designed to enhance the vintage film texture. It embodies a monochrome, high-contrast color palette reminiscent of classic film noir, which is particularly evident in its portrayal of characters (with a subtle bias towards the charismatic charm of the era), bustling cityscapes, and dramatic shadows. The model delivers an exceptional aesthetic experience, capturing the essence of a bygone era with modern precision.

<div class="container"> <img src="https://cdn-uploads.huggingface.co/production/uploads/652c2a63d78452c4742cd3d3/ZYFYBwpB4bJMMAHcDEEP0.png" width="1024"/> </div>

Trigger words

You should use cinematic_1940s to trigger the image generation.

Inference

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights('aixonlab/FLUX.1-dev-LoRA-Cinematic-1940s', weight_name='cinematic-1940s.safetensors')
pipe.fuse_lora(lora_scale=0.8)
pipe.to("cuda")

prompt = "a gorgeous woman and a man, cinematic_1940s"

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.0,
             width=768, height=1024,
            ).images[0]
image.save(f"example.png")

Acknowledgements

This model is trained by AIXON Lab. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.