[Pipeline] Adding BoxDiff to community examples (#7947)

add boxdiff to community examples

Author: zjysteven

examples/community/README.md

@@ -68,6 +68,7 @@ Please also check out our [Community Scripts](https://github.com/huggingface/dif
 |   InstantID Pipeline                                                                                               | Stable Diffusion XL Pipeline that supports InstantID                                                                                                                                                                                                                                                                                                                                                 |  [InstantID Pipeline](#instantid-pipeline) | [![Hugging Face Space](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-yellow)](https://huggingface.co/spaces/InstantX/InstantID) | [Haofan Wang](https://github.com/haofanwang) |
 |   UFOGen Scheduler                                                                                               | Scheduler for UFOGen Model (compatible with Stable Diffusion pipelines)                                                                                                                                                                                                                                                                                                                                                 |  [UFOGen Scheduler](#ufogen-scheduler) | - | [dg845](https://github.com/dg845) |
 | Stable Diffusion XL IPEX Pipeline | Accelerate Stable Diffusion XL inference pipeline with BF16/FP32 precision on Intel Xeon CPUs with [IPEX](https://github.com/intel/intel-extension-for-pytorch) | [Stable Diffusion XL on IPEX](#stable-diffusion-xl-on-ipex) | - | [Dan Li](https://github.com/ustcuna/) |
+| Stable Diffusion BoxDiff Pipeline | Training-free controlled generation with bounding boxes using [BoxDiff](https://github.com/showlab/BoxDiff) | [Stable Diffusion BoxDiff Pipeline](#stable-diffusion-boxdiff) | - | [Jingyang Zhang](https://github.com/zjysteven/) |
 
 To load a custom pipeline you just need to pass the `custom_pipeline` argument to `DiffusionPipeline`, as one of the files in `diffusers/examples/community`. Feel free to send a PR with your own pipelines, we will merge them quickly.
 
@@ -1676,6 +1677,68 @@ image = pipe(prompt, image=input_image, strength=0.75,).images[0]
 image.save('tensorrt_img2img_new_zealand_hills.png')
 ```
 
+### Stable Diffusion BoxDiff
+BoxDiff is a training-free method for controlled generation with bounding box coordinates. It shoud work with any Stable Diffusion model. Below shows an example with `stable-diffusion-2-1-base`.
+```py
+import torch
+from PIL import Image, ImageDraw
+from copy import deepcopy
+
+from examples.community.pipeline_stable_diffusion_boxdiff import StableDiffusionBoxDiffPipeline
+
+def draw_box_with_text(img, boxes, names):
+    colors = ["red", "olive", "blue", "green", "orange", "brown", "cyan", "purple"]
+    img_new = deepcopy(img)
+    draw = ImageDraw.Draw(img_new)
+
+    W, H = img.size
+    for bid, box in enumerate(boxes):
+        draw.rectangle([box[0] * W, box[1] * H, box[2] * W, box[3] * H], outline=colors[bid % len(colors)], width=4)
+        draw.text((box[0] * W, box[1] * H), names[bid], fill=colors[bid % len(colors)])
+    return img_new
+
+pipe = StableDiffusionBoxDiffPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-2-1-base",
+    torch_dtype=torch.float16,
+)
+pipe.to("cuda")
+
+# example 1
+prompt = "as the aurora lights up the sky, a herd of reindeer leisurely wanders on the grassy meadow, admiring the breathtaking view, a serene lake quietly reflects the magnificent display, and in the distance, a snow-capped mountain stands majestically, fantasy, 8k, highly detailed"
+phrases = [
+    "aurora",
+    "reindeer",
+    "meadow",
+    "lake",
+    "mountain"
+]
+boxes = [[1,3,512,202], [75,344,421,495], [1,327,508,507], [2,217,507,341], [1,135,509,242]]
+
+# example 2
+# prompt = "A rabbit wearing sunglasses looks very proud"
+# phrases = ["rabbit", "sunglasses"]
+# boxes = [[67,87,366,512], [66,130,364,262]]
+
+boxes = [[x / 512 for x in box] for box in boxes]
+
+images = pipe(
+    prompt,
+    boxdiff_phrases=phrases,
+    boxdiff_boxes=boxes,
+    boxdiff_kwargs={
+        "attention_res": 16,
+        "normalize_eot": True
+    },
+    num_inference_steps=50,
+    guidance_scale=7.5,
+    generator=torch.manual_seed(42),
+    safety_checker=None
+).images
+
+draw_box_with_text(images[0], boxes, phrases).save("output.png")
+```
+
+
 ### Stable Diffusion Reference
 
 This pipeline uses the Reference Control. Refer to the [sd-webui-controlnet discussion: Reference-only Control](https://github.com/Mikubill/sd-webui-controlnet/discussions/1236)[sd-webui-controlnet discussion: Reference-adain Control](https://github.com/Mikubill/sd-webui-controlnet/discussions/1280).