🚀 SD3.5-LoRA-Linear-Red-Light

这是一个基于StableDiffusion 3.5的LoRA模型，可在图像生成中添加线性红光效果。

🚀 快速开始

触发词

你应该使用 Linear red light 来触发图像生成。

推理示例

以下是使用该模型进行推理的Python代码示例：

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")

💻 使用示例

基础用法

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")

高级用法

# 可以根据需要调整推理参数，如推理步数、引导比例、图像尺寸等，以获得不同效果的图像。
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 beautiful princess, Linear red light"
negative_prompt = "(lowres, low quality, worst quality)"

# 调整推理步数和引导比例
image = pipe(prompt=prompt,
             negative_prompt=negative_prompt,
             num_inference_steps=30, 
             guidance_scale=5.0,
             width=1024, height=1024,
            ).images[0]
image.save(f"advanced_example.jpg")

📄 许可证

本模型使用的许可证为 stabilityai-ai-community，你可以通过以下链接查看许可证详情：https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md

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