T2iadapter Sketch Sd14v1

🚀 T2I Adapter - Sketch

T2I Adapter is a network that provides additional conditioning to stable diffusion. Each T2I checkpoint takes a different type of conditioning as input and is used with a specific base stable diffusion checkpoint. This checkpoint offers conditioning on sketches for the Stable Diffusion 1.4 checkpoint.

🚀 Quick Start

Dependencies

pip install diffusers transformers controlnet_aux

Run code

import torch
from PIL import Image
from controlnet_aux import PidiNetDetector

from diffusers import (
    T2IAdapter,
    StableDiffusionAdapterPipeline
)

image = Image.open('./images/sketch_in.png')

processor = PidiNetDetector.from_pretrained('lllyasviel/Annotators')

sketch_image = processor(image)

sketch_image.save('./images/sketch.png')

adapter = T2IAdapter.from_pretrained("TencentARC/t2iadapter_zoedepth_sd15v1", torch_dtype=torch.float16)
pipe = StableDiffusionAdapterPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4", adapter=adapter, safety_checker=None, torch_dtype=torch.float16, variant="fp16"
)

pipe.to('cuda')

generator = torch.Generator().manual_seed(0)

sketch_image_out = pipe(prompt="royal chamber with fancy bed", image=sketch_image, generator=generator).images[0]

sketch_image_out.save('./images/sketch_image_out.png')

✨ Features

T2I Adapter provides additional conditioning to Stable Diffusion, enabling more controllable text-to-image generation. Different checkpoints can take various types of conditioning as input, such as color palettes, sketches, depth maps, etc.

📚 Documentation

Model Details

Checkpoints

Model Name	Control Image Overview	Control Image Example	Generated Image Example
TencentARC/t2iadapter_color_sd14v1 Trained with spatial color palette	A image with 8x8 color palette.
TencentARC/t2iadapter_canny_sd14v1 Trained with canny edge detection	A monochrome image with white edges on a black background.
TencentARC/t2iadapter_sketch_sd14v1 Trained with PidiNet edge detection	A hand-drawn monochrome image with white outlines on a black background.
TencentARC/t2iadapter_depth_sd14v1 Trained with Midas depth estimation	A grayscale image with black representing deep areas and white representing shallow areas.
TencentARC/t2iadapter_openpose_sd14v1 Trained with OpenPose bone image	A OpenPose bone image.
TencentARC/t2iadapter_keypose_sd14v1 Trained with mmpose skeleton image	A mmpose skeleton image.
TencentARC/t2iadapter_seg_sd14v1 Trained with semantic segmentation	An custom segmentation protocol image.
TencentARC/t2iadapter_canny_sd15v2
TencentARC/t2iadapter_depth_sd15v2
TencentARC/t2iadapter_sketch_sd15v2
TencentARC/t2iadapter_zoedepth_sd15v1

📄 License

This model is licensed under the Apache 2.0 license.