【AI绘画】群核发布Flux生成室内设计效果图

FLUX.1 Layout Controlnet [dev]是一种基于语义图像条件约束的ControlNet模型。该控制网络能够根据文本描述生成图像，同时遵循输入的语义图像结构。此ControlNet适用于FLUX.1 [dev]系统。

展示

This serene Chinese-inspired bedroom with a traditional bed frame featuring intricate carvings. Use soft, muted colors for the bedding and walls. Hang delicate, calligraphic artworks above the bed. Place a refined wooden nightstand with a circular mirror beside the bed and a built-in wardrobe with sliding doors. Large windows should be adorned with lightweight, embroidered curtains that allow natural light to gently enter the room on the wooden board.

This elegant European-style bedroom features a luxurious bed with a tufted headboard, adorned with fine linens. Incorporate classic abstract paintings above the bed and a sophisticated floating nightstand with a decorative mirror. Include a built-in wardrobe with ornate details and large windows draped with sheer, flowing curtains that let in soft, diffused light.

This whimsical cartoon bedroom with a playful bed that has a fun, tufted headboard. The bedding should feature bright, cheerful patterns. Hang colorful, abstract cartoons on the walls above the bed. Include a quirky, floating nightstand with a round, animated mirror and a built-in wardrobe with open shelves filled with toys. Large windows with sheer, patterned curtains should let in plenty of light, creating a lively atmosphere.

This futuristic cyberpunk bedroom with a sleek, high-tech bed featuring a digital display headboard. The bedding should have a metallic sheen with neon accents. Install holographic abstract art above the bed and a floating nightstand with a reflective, circular mirror. Add a built-in wardrobe with illuminated shelves and large windows with smart, translucent curtains that filter the city lights. The room should exude a cool, tech-savvy vibe.

Diffusers

要使用FLUX.1-Layout-Controlnet配合🧨 diffusers Python库，首先需要安装或升级diffusers和peft。

sh 复制代码

pip install -U git+https://github.com/huggingface/diffusers
pip install -U peft

然后你可以使用 FluxControlNetPipeline 来运行它：

python 复制代码

import torch
from diffusers import FluxControlNetModel
from diffusers.pipelines import FluxControlNetPipeline
from diffusers.utils import load_image

generator = torch.Generator(device="cuda").manual_seed(87544357)

controlnet = FluxControlNetModel.from_pretrained(
  "manycore-research/FLUX.1-Layout-ControlNet",
  torch_dtype=torch.bfloat16,
)
pipe = FluxControlNetPipeline.from_pretrained(
  "black-forest-labs/FLUX.1-dev/",
  controlnet=controlnet,
  torch_dtype=torch.bfloat16,
)
pipe.to("cuda")

control_image = load_image("https://huggingface.co/manycore-research/FLUX.1-Layout-ControlNet/blob/main/assets/input.png")
prompt = "This elegant European-style bedroom features a luxurious bed with a tufted headboard, adorned with fine linens. Incorporate classic abstract paintings above the bed and a sophisticated floating nightstand with a decorative mirror. Include a built-in wardrobe with ornate details and large windows draped with sheer, flowing curtains that let in soft, diffused light."

image = pipe(
    prompt,
    control_image=control_image,
    controlnet_conditioning_scale=0.7,
    num_inference_steps=25,
    guidance_scale=7,
    height=1024,
    width=1024,
    generator=generator,
    num_images_per_prompt=1,
).images[0]
image.save("output.png")