Skip to content

Commit

Permalink
[ppdiffusers] mixture canvas pipeline (#391)
Browse files Browse the repository at this point in the history
  • Loading branch information
Tsaiyue authored Jan 22, 2024
1 parent f049e2d commit d911736
Show file tree
Hide file tree
Showing 2 changed files with 574 additions and 0 deletions.
56 changes: 56 additions & 0 deletions ppdiffusers/examples/community/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
|ControlNet Reference Only| 基于参考图片生成与图片相似的图片|[ControlNet Reference Only](#controlnet-reference-only)||
|Stable Diffusion XL Reference| 基于参考图片,利用stable diffusion xl 生成与图片相似的图片|[Stable Diffusion XL Reference](#Stable Diffusion XL Reference)||
|Stable Diffusion Mixture Tiling| 基于Mixture机制的多文本大图生成Stable Diffusion Pipeline|[Stable Diffusion Mixture Tiling](#stable-diffusion-mixture-tiling)||
|Stable Diffusion Mixture Canvas| 基于Mixture机制的文本引导大图生成Stable Diffusion Pipeline|[Stable Diffusion Mixture Canvas](#stable-diffusion-mixture-canvas)||
|CLIP Guided Images Mixing Stable Diffusion Pipeline| 一个用于图片融合的Stable Diffusion Pipeline|[CLIP Guided Images Mixing Using Stable Diffusion](#clip-guided-images-mixing-with-stable-diffusion)||
|EDICT Image Editing Pipeline| 一个用于文本引导的图像编辑的 Stable Diffusion Pipeline|[EDICT Image Editing Pipeline](#edict_pipeline)||
|FABRIC - Stable Diffusion with feedback Pipeline| 一个用于喜欢图片和不喜欢图片的反馈 Pipeline|[FABRIC - Stable Diffusion with feedback Pipeline](#fabric_pipeline)||
Expand Down Expand Up @@ -588,6 +589,61 @@ image.save('mixture_tiling' + ".png")
生成的图片如下所示:
<center><img src="https://user-images.githubusercontent.com/20476674/250050184-c3d26d20-dbdf-42f6-9723-5f35f628f68e.png" width=100%></center>


### Stable Diffusion Mixture Canvas
`StableDiffusionCanvasPipeline`是一个基于Mixture机制的文本引导大图生成Stable Diffusion Pipeline。使用方式如下所示:

```python
from PIL import Image
from ppdiffusers import LMSDiscreteScheduler
from mixture_canvas import (
StableDiffusionCanvasPipeline,
Text2ImageRegion,
Image2ImageRegion,
preprocess_image,
)

# Load and preprocess guide image
iic_image = preprocess_image(Image.open("input_image.png").convert("RGB"))

# Creater scheduler and model (similar to StableDiffusionPipeline)
scheduler = LMSDiscreteScheduler(
beta_start=0.00085,
beta_end=0.012,
beta_schedule="scaled_linear",
num_train_timesteps=1000,
)
pipeline = StableDiffusionCanvasPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", scheduler=scheduler)

# Mixture of Diffusers generation
output = pipeline(
canvas_height=800,
canvas_width=352,
regions=[
Text2ImageRegion(
0,
800,
0,
352,
guidance_scale=8,
prompt=f"best quality, masterpiece, WLOP, sakimichan, art contest winner on pixiv, 8K, intricate details, wet effects, rain drops, ethereal, mysterious, futuristic, UHD, HDR, cinematic lighting, in a beautiful forest, rainy day, award winning, trending on artstation, beautiful confident cheerful young woman, wearing a futuristic sleeveless dress, ultra beautiful detailed eyes, hyper-detailed face, complex, perfect, model,  textured, chiaroscuro, professional make-up, realistic, figure in frame, ",
),
Image2ImageRegion(
800 - 352, 800, 0, 352, reference_image=iic_image, strength=1.0
),
],
num_inference_steps=100,
seed=5525475061,
)["images"][0]

output.save("output_image.png")
```
输入图像和生成图片如下所示:

![Input_Image](https://github.com/PaddlePaddle/PaddleMIX/assets/46399096/b449a867-2dfb-4016-b5fd-75fc41bcf4ab)
![mixture_canvas_results](https://github.com/PaddlePaddle/PaddleMIX/assets/46399096/57ee99bf-98a3-49c3-8c9b-021c02115372)


### CLIP Guided Images Mixing With Stable Diffusion
`CLIPGuidedImagesMixingStableDiffusion` 基于Stable Diffusion来针对输入的两个图片进行融合:
```python
Expand Down
Loading

0 comments on commit d911736

Please sign in to comment.