instruct-pix2pix

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README(From Huggingface)

InstructPix2Pix: Learning to Follow Image Editing Instructions

GitHub: https://github.com/timothybrooks/instruct-pix2pix

Example

To use InstructPix2Pix, install diffusers using main for now. The pipeline will be available in the next release

pip install diffusers accelerate safetensors transformers

import PIL
import requests
import paddle
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler

model_id = "timbrooks/instruct-pix2pix"
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, dtype=paddle.float16, safety_checker=None)
pipe
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

url = "https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/main/imgs/example.jpg"
def download_image(url):
    image = PIL.Image.open(requests.get(url, stream=True).raw)
    image = PIL.ImageOps.exif_transpose(image)
    image = image.convert("RGB")
    return image
image = download_image(url)

prompt = "turn him into cyborg"
images = pipe(prompt, image=image, num_inference_steps=10, image_guidance_scale=1).images
images[0]

Model Files

• README.md (1.3 KB)

• feature_extractor/preprocessor_config.json (518.0 B)

• model_index.json (683.0 B)

• safety_checker/config.json (731.0 B)

• safety_checker/model_state.pdparams (1.1 GB)

• scheduler/scheduler_config.json (600.0 B)

• text_encoder/config.json (691.0 B)

• text_encoder/model_state.pdparams (469.5 MB)

• tokenizer/merges.txt (512.3 KB)

• tokenizer/special_tokens_map.json (389.0 B)

• tokenizer/tokenizer_config.json (842.0 B)

• tokenizer/vocab.json (1.0 MB)

• unet/config.json (1.4 KB)

• unet/model_state.pdparams (3.2 GB)

• vae/config.json (829.0 B)

• vae/model_state.pdparams (319.1 MB)

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