许可证: 其他
语言:

• 英文
  基础模型:
• black-forest-labs/FLUX.1-dev
  管道标签: 文本生成图像
  标签:
• diffusers
• controlnet
• Flux
• 图像生成

描述

本仓库提供了Xlabs AI开发的FLUX.1-dev Canny ControlNet检查点的Diffusers版本实现，原始仓库。

使用方法

该模型可直接配合diffusers库使用

import torch
from diffusers.utils import load_image
from diffusers import FluxControlNetModel
from diffusers.pipelines import FluxControlNetPipeline
from PIL import Image
import numpy as np

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

controlnet = FluxControlNetModel.from_pretrained(
  "Xlabs-AI/flux-controlnet-canny-diffusers",
  torch_dtype=torch.bfloat16,
  use_safetensors=True,
)
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/Xlabs-AI/flux-controlnet-canny-diffusers/resolve/main/canny_example.png")
prompt = "彩虹色头发的俊俏女孩，动漫风格"

image = pipe(
    prompt,
    control_image=control_image,
    controlnet_conditioning_scale=0.7,
    num_inference_steps=25,
    guidance_scale=3.5,
    height=1024,
    width=768,
    generator=generator,
    num_images_per_prompt=1,
).images[0]

image.save("output_test_controlnet.png")

许可证

本权重文件遵循FLUX.1 [dev]非商业许可协议