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")
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