metadata

tags:
  - text-to-image
  - stable-diffusion
  - diffusers
  - image-generation
  - flux
  - safetensors
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: cinematic_1940s
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
  - en
library_name: diffusers

Cinematic-1940s

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.

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.