SD3.5-LoRA-Linear-Red-Light

Prompt

a boy in Halloween costumes, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Prompt

a cat, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Prompt

Halloween Lanterns on the table, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Prompt

Eiffel Tower, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Prompt

a Witch, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Prompt

a vampire, moon, Linear red light

Negative Prompt

(lowres, low quality, worst quality)

Trigger words

You should use Linear red light to trigger the image generation.

Inference

import torch
from diffusers import StableDiffusion3Pipeline # pip install diffusers>=0.31.0

pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/SD3.5-LoRA-Linear-Red-Light", weight_name="SD35-lora-Linear-Red-Light.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")

prompt = "a spider-man, Linear red light"
negative_prompt = "(lowres, low quality, worst quality)"

image = pipe(prompt=prompt,
             negative_prompt=negative_prompt
             num_inference_steps=24, 
             guidance_scale=4.0,
             width=960, height=1280,
            ).images[0]
image.save(f"toy_example.jpg")