--- 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 ```python 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/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](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).