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[WIP][Community Pipeline] InstaFlow! One-Step Stable Diffusion with Rectified Flow #6057

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Jan 23, 2024
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[WIP][Community Pipeline] InstaFlow! One-Step Stable Diffusion with Rectified Flow #6057

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e4fedfe
Add instaflow community pipeline
ayushtues Dec 5, 2023
62b7a01
Merge branch 'main' into instaflow
sayakpaul Dec 5, 2023
cdb2d10
Merge branch 'main' into instaflow
patrickvonplaten Dec 6, 2023
af984ac
Make styling fixes
ayushtues Dec 13, 2023
3b19594
Add lora
ayushtues Dec 20, 2023
6a65d4e
Merge branch 'main' into instaflow
sayakpaul Dec 21, 2023
56ff870
Fix formatting
ayushtues Dec 21, 2023
4e18edf
Add docs
ayushtues Dec 21, 2023
176ce1c
Update README.md
ayushtues Dec 21, 2023
8793472
Update README.md
ayushtues Dec 21, 2023
0fcd447
Merge branch 'main_hf' into instaflow
ayushtues Jan 5, 2024
e77220a
Merge branch 'instaflow' of https://github.com/ayushtues/diffusers in…
ayushtues Jan 5, 2024
6e1ca86
Remove do LORA
ayushtues Jan 9, 2024
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Update readme
ayushtues Jan 9, 2024
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Update README.md
ayushtues Jan 9, 2024
5f50a72
Merge branch 'main_hf' into instaflow
ayushtues Jan 9, 2024
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Update README.md
ayushtues Jan 10, 2024
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Merge branch 'main_hf' into instaflow
ayushtues Jan 23, 2024
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39 changes: 39 additions & 0 deletions examples/community/README.md
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Expand Up @@ -55,6 +55,7 @@ prompt-to-prompt | change parts of a prompt and retain image structure (see [pap
| LDM3D-sr (LDM3D upscaler) | Upscale low resolution RGB and depth inputs to high resolution | [StableDiffusionUpscaleLDM3D Pipeline](https://github.com/estelleafl/diffusers/tree/ldm3d_upscaler_community/examples/community#stablediffusionupscaleldm3d-pipeline) | - | [Estelle Aflalo](https://github.com/estelleafl) |
| AnimateDiff ControlNet Pipeline | Combines AnimateDiff with precise motion control using ControlNets | [AnimateDiff ControlNet Pipeline](#animatediff-controlnet-pipeline) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1SKboYeGjEQmQPWoFC0aLYpBlYdHXkvAu?usp=sharing) | [Aryan V S](https://github.com/a-r-r-o-w) and [Edoardo Botta](https://github.com/EdoardoBotta) |
| DemoFusion Pipeline | Implementation of [DemoFusion: Democratising High-Resolution Image Generation With No $$$](https://arxiv.org/abs/2311.16973) | [DemoFusion Pipeline](#DemoFusion) | - | [Ruoyi Du](https://github.com/RuoyiDu) |
| Instaflow Pipeline | Implementation of [InstaFlow! One-Step Stable Diffusion with Rectified Flow](https://arxiv.org/abs/2309.06380) | [Instaflow Pipeline](#instaflow-pipeline) | - | [Ayush Mangal](https://github.com/ayushtues) |
| Null-Text Inversion Pipeline | Implement [Null-text Inversion for Editing Real Images using Guided Diffusion Models](https://arxiv.org/abs/2211.09794) as a pipeline. | [Null-Text Inversion](https://github.com/google/prompt-to-prompt/) | - | [Junsheng Luan](https://github.com/Junsheng121) |
| Rerender A Video Pipeline | Implementation of [[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation](https://arxiv.org/abs/2306.07954) | [Rerender A Video Pipeline](#Rerender_A_Video) | - | [Yifan Zhou](https://github.com/SingleZombie) |
| StyleAligned Pipeline | Implementation of [Style Aligned Image Generation via Shared Attention](https://arxiv.org/abs/2312.02133) | [StyleAligned Pipeline](#stylealigned-pipeline) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/15X2E0jFPTajUIjS0FzX50OaHsCbP2lQ0/view?usp=sharing) | [Aryan V S](https://github.com/a-r-r-o-w) |
Expand Down Expand Up @@ -3228,6 +3229,43 @@ output_image.save("./output.png")

```

### Instaflow Pipeline
InstaFlow is an ultra-fast, one-step image generator that achieves image quality close to Stable Diffusion, significantly reducing the demand of computational resources. This efficiency is made possible through a recent [Rectified Flow](https://github.com/gnobitab/RectifiedFlow) technique, which trains probability flows with straight trajectories, hence inherently requiring only a single step for fast inference.

```python
from diffusers import DiffusionPipeline
import torch


pipe = DiffusionPipeline.from_pretrained("XCLIU/instaflow_0_9B_from_sd_1_5", torch_dtype=torch.float16, custom_pipeline="instaflow_one_step")
pipe.to("cuda") ### if GPU is not available, comment this line
prompt = "A hyper-realistic photo of a cute cat."

images = pipe(prompt=prompt,
num_inference_steps=1,
guidance_scale=0.0).images
images[0].save("./image.png")
```
![image1](https://huggingface.co/datasets/ayushtues/instaflow_images/resolve/main/instaflow_cat.png)

You can also combine it with LORA out of the box, like https://huggingface.co/artificialguybr/logo-redmond-1-5v-logo-lora-for-liberteredmond-sd-1-5, to unlock cool use cases in single step!

```python
from diffusers import DiffusionPipeline
import torch


pipe = DiffusionPipeline.from_pretrained("XCLIU/instaflow_0_9B_from_sd_1_5", torch_dtype=torch.float16, custom_pipeline="instaflow_one_step")
pipe.to("cuda") ### if GPU is not available, comment this line
pipe.load_lora_weights("artificialguybr/logo-redmond-1-5v-logo-lora-for-liberteredmond-sd-1-5")
prompt = "logo, A logo for a fitness app, dynamic running figure, energetic colors (red, orange) ),LogoRedAF ,"
images = pipe(prompt=prompt,
num_inference_steps=1,
guidance_scale=0.0).images
images[0].save("./image.png")
```
![image0](https://huggingface.co/datasets/ayushtues/instaflow_images/resolve/main/instaflow_logo.png)

### Null-Text Inversion pipeline

This pipeline provides null-text inversion for editing real images. It enables null-text optimization, and DDIM reconstruction via w, w/o null-text optimization. No prompt-to-prompt code is implemented as there is a Prompt2PromptPipeline.
Expand Down Expand Up @@ -3267,6 +3305,7 @@ pipeline(prompt, uncond, inverted_latent, guidance_scale=7.5, num_inference_step
```
### Rerender_A_Video

```
This is the Diffusers implementation of zero-shot video-to-video translation pipeline [Rerender_A_Video](https://github.com/williamyang1991/Rerender_A_Video) (without Ebsynth postprocessing). To run the code, please install gmflow. Then modify the path in `examples/community/rerender_a_video.py`:

```py
Expand Down
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