AI/diffusers
1
0
Fork 0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-27 17:22:53 +03:00
Code Activity

Update CLIPFeatureExtractor to CLIPImageProcessor and DPTFeatureExtractor to DPTImageProcessor (#9002)

Browse Source 
* fix: update `CLIPFeatureExtractor` to `CLIPImageProcessor` in codebase

* `make style && make quality`

* Update `DPTFeatureExtractor` to `DPTImageProcessor` in codebase

* `make style`

---------

Co-authored-by: Aryan <aryan@huggingface.co>
This commit is contained in:
Tolga Cangöz
2024-08-05 22:20:29 +03:00
committed by GitHub
parent 6d32b29239
commit 3dc97bd148
30 changed files with 73 additions and 77 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/source/ko/using-diffusers/loading.md
View File

@@ -307,7 +307,7 @@ print(pipeline)
위의 코드 출력 결과를 확인해보면, `pipeline`은 [`StableDiffusionPipeline`]의 인스턴스이며, 다음과 같이 총 7개의 컴포넌트로 구성된다는 것을 알 수 있습니다.
- `"feature_extractor"`: [`~transformers.CLIPFeatureExtractor`]의 인스턴스
- `"feature_extractor"`: [`~transformers.CLIPImageProcessor`]의 인스턴스
- `"safety_checker"`: 유해한 컨텐츠를 스크리닝하기 위한 [컴포넌트](https://github.com/huggingface/diffusers/blob/e55687e1e15407f60f32242027b7bb8170e58266/src/diffusers/pipelines/stable_diffusion/safety_checker.py#L32)
- `"scheduler"`: [`PNDMScheduler`]의 인스턴스
- `"text_encoder"`: [`~transformers.CLIPTextModel`]의 인스턴스

2
docs/source/ko/using-diffusers/textual_inversion_inference.md
View File

@@ -24,7 +24,7 @@ import PIL
from PIL import Image
from diffusers import StableDiffusionPipeline
from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
def image_grid(imgs, rows, cols):