tags:
- text-to-image
- stable-diffusion
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: A young asian girl, filmfotos,film grain, reversal film photography
output:
url: images/1.png
- text: >-
A young Japanese girl, profile, blue hours, Tokyo tower, filmfotos,film
grain, reversal film photography
output:
url: images/2.png
- text: Tokyo street photography, filmfotos,film grain, reversal film photography
output:
url: images/3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: filmfotos, film grain, reversal film photography
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
FilmPortrait
FilmPortrait is a LoRA model finetuned on FLUX.1-dev, specifically designed to enhance the film texture. It embodies a subdued, low-saturation color palette reminiscent of classic Japanese cinema, which is particularly evident in its portrayal of characters (with a subtle bias towards Asian features), serene still lifes, and sweeping landscapes. The model delivers an exceptional aesthetic experience, capturing the essence of a bygone era with modern precision.
Comparison
The following example shows a simple comparison with FLUX.1-dev under the same parameter setting.
Trigger words
You should use filmfotos, film grain, reversal film photography 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('Shakker-Labs/FilmPortrait', weight_name='filmfotos.safetensors')
pipe.fuse_lora(lora_scale=0.9)
pipe.to("cuda")
prompt = "a young girl, filmfotos, film grain, reversal film photography"
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
width=768, height=1024,
).images[0]
image.save(f"example.png")
Online Inference
You can also download this model at Shakker AI, where we provide an online interface to generate images.
Acknowledgements
This model is trained by our copyrighted users DynamicWang. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.