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strkyyy/film-noir-bw
film-noir-bw is a text-to-image model from strkyyy. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
Capture the essence of classic 1940s film noir with this LoRA, featuring high-contrast black-and-white imagery, deep shadows, and a moody atmosphere reminiscent of rain-slicked streets and foggy alleys. Apply the trig…
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From the Hugging Face model README
Capture the essence of classic 1940s film noir with this LoRA, featuring high-contrast black-and-white imagery, deep shadows, and a moody atmosphere reminiscent of rain-slicked streets and foggy alleys.
Apply the trigger word 'n01rbw' in your prompts for best results. Suggested strength: 0.85, with a recommended sampler setting of DPM++ 2M and around 30-40 steps.
n01rbw a rainy city street at night with flickering neon signs and dark alleys
n01rbw close-up of a detective in trench coat under dimly lit streetlamp, fedora tilted
n01rbw old cinema marquee with film title 'The Last Detective' in bold letters
n01rbw blurred motion shot of raindrops hitting pavement and reflections on wet road
n01rbw soft focus portrait of a woman smoking a cigarette, silhouette against window light
n01rbw abstract swirls of smoke curling upwards over a vintage microphone
Activate with n01rbw. Recommended strength: 0.9.

diffusersfrom diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/film-noir-bw")
image = pipe("n01rbw, your prompt", num_inference_steps=30).images[0]