Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Aminrabi/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aminrabi/diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aminrabi/diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 3,564 Bytes
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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# Text-guided ์ด๋ฏธ์ง ์ธํ์ธํ
(inpainting)
[[์ฝ๋ฉ์์ ์ด๊ธฐ]]
[`StableDiffusionInpaintPipeline`]์ ๋ง์คํฌ์ ํ
์คํธ ํ๋กฌํํธ๋ฅผ ์ ๊ณตํ์ฌ ์ด๋ฏธ์ง์ ํน์ ๋ถ๋ถ์ ํธ์งํ ์ ์๋๋ก ํฉ๋๋ค. ์ด ๊ธฐ๋ฅ์ ์ธํ์ธํ
์์
์ ์ํด ํน๋ณํ ํ๋ จ๋ [`runwayml/stable-diffusion-inpainting`](https://huggingface.co/runwayml/stable-diffusion-inpainting)๊ณผ ๊ฐ์ Stable Diffusion ๋ฒ์ ์ ์ฌ์ฉํฉ๋๋ค.
๋จผ์ [`StableDiffusionInpaintPipeline`] ์ธ์คํด์ค๋ฅผ ๋ถ๋ฌ์ต๋๋ค:
```python
import PIL
import requests
import torch
from io import BytesIO
from diffusers import StableDiffusionInpaintPipeline
pipeline = StableDiffusionInpaintPipeline.from_pretrained(
"runwayml/stable-diffusion-inpainting",
torch_dtype=torch.float16,
)
pipeline = pipeline.to("cuda")
```
๋์ค์ ๊ต์ฒดํ ๊ฐ์์ง ์ด๋ฏธ์ง์ ๋ง์คํฌ๋ฅผ ๋ค์ด๋ก๋ํ์ธ์:
```python
def download_image(url):
response = requests.get(url)
return PIL.Image.open(BytesIO(response.content)).convert("RGB")
img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
init_image = download_image(img_url).resize((512, 512))
mask_image = download_image(mask_url).resize((512, 512))
```
์ด์ ๋ง์คํฌ๋ฅผ ๋ค๋ฅธ ๊ฒ์ผ๋ก ๊ต์ฒดํ๋ผ๋ ํ๋กฌํํธ๋ฅผ ๋ง๋ค ์ ์์ต๋๋ค:
```python
prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
image = pipe(prompt=prompt, image=init_image, mask_image=mask_image).images[0]
```
`image` | `mask_image` | `prompt` | output |
:-------------------------:|:-------------------------:|:-------------------------:|-------------------------:|
<img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" alt="drawing" width="250"/> | <img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" alt="drawing" width="250"/> | ***Face of a yellow cat, high resolution, sitting on a park bench*** | <img src="https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/in_paint/yellow_cat_sitting_on_a_park_bench.png" alt="drawing" width="250"/> |
<Tip warning={true}>
์ด์ ์ ์คํ์ ์ธ ์ธํ์ธํ
๊ตฌํ์์๋ ํ์ง์ด ๋ฎ์ ๋ค๋ฅธ ํ๋ก์ธ์ค๋ฅผ ์ฌ์ฉํ์ต๋๋ค. ์ด์ ๋ฒ์ ๊ณผ์ ํธํ์ฑ์ ๋ณด์ฅํ๊ธฐ ์ํด ์ ๋ชจ๋ธ์ด ํฌํจ๋์ง ์์ ์ฌ์ ํ์ต๋ ํ์ดํ๋ผ์ธ์ ๋ถ๋ฌ์ค๋ฉด ์ด์ ์ธํ์ธํ
๋ฐฉ๋ฒ์ด ๊ณ์ ์ ์ฉ๋ฉ๋๋ค.
</Tip>
์๋ Space์์ ์ด๋ฏธ์ง ์ธํ์ธํ
์ ์ง์ ํด๋ณด์ธ์!
<iframe
src="https://runwayml-stable-diffusion-inpainting.hf.space"
frameborder="0"
width="850"
height="500"
></iframe>
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