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Model Details
Model Description
StableDiffusion3 model trained with the UltraEdit data to perform the mask-based and free-form image editing.
You can get the modified verson of diffusers from the github
PAGE:
cd diffusers && pip install -e .
And then you can run:
1# For Editing with SD3
2import torch
3from diffusers import StableDiffusion3InstructPix2PixPipeline
4from diffusers.utils import load_image
5import requests
6import PIL.Image
7
8pipe = StableDiffusion3InstructPix2PixPipeline.from_pretrained("BleachNick/SD3_UltraEdit_w_mask", torch_dtype=torch.float16)
9pipe = pipe.to("cuda")
10prompt="What if the horse wears a hat?"
11img = load_image("input.png").resize((512, 512))
12mask_img = load_image("mask_img.png").resize(img.size)
13# For free form Editing, seed a blank mask
14# mask_img = PIL.Image.new("RGB", img.size, (255, 255, 255))
15image = pipe(
16 prompt,
17 image=img,
18 mask_img=mask_img,
19 negative_prompt="",
20 num_inference_steps=50,
21 image_guidance_scale=1.5,
22 guidance_scale=7.5,
23).images[0]
24image.save("edited_image.png")
25# display image
26
27
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