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---
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
<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/jwvBnI0R3zVf3E0MN-frq.png" width="1024"/>
</div>
## 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). |