magicbrush-jul7

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匿名用户2024年07月31日
32阅读
所属分类aiPytorch、diffusers、text-to-image、stable-diffusion-dif、stable-diffusion
开源地址https://modelscope.cn/models/AI-ModelScope/magicbrush-jul7
授权协议creativeml-openrail-m

作品详情

diffuser port of https://huggingface.co/osunlp/InstructPix2Pix-MagicBrush. diffuser version of MagicBrush-epoch-52-step-4999.ckpt

from PIL import Image, ImageOps
import requests
import torch
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
from PIL import Image

url = "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/mountain.png"

def download_image(url):
    image = Image.open(requests.get(url, stream=True).raw)
    image = ImageOps.exif_transpose(image)
    image = image.convert("RGB")
    return image

image = download_image(url)
prompt = "make the mountains snowy"

class MagicBrush():
    def __init__(self, weight="vinesmsuic/magicbrush-jul7"):
        self.pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
                        weight, 
                        torch_dtype=torch.float16
                    ).to("cuda")
        self.pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(self.pipe.scheduler.config)

    def infer_one_image(self, src_image, instruct_prompt, seed):
        generator = torch.manual_seed(seed)
        image = self.pipe(instruct_prompt, image=src_image, num_inference_steps=20, image_guidance_scale=1.5, guidance_scale=7, generator=generator).images[0]
        return image

model = MagicBrush()
image_output = model.infer_one_image(image, prompt, 42)
image_output

License

This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:

  1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
  2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
  3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here
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