Add Composable diffusion to community pipeline examples

examples/community/README.md

@@ -15,6 +15,8 @@ If a community doesn't work as expected, please open an issue and ping the autho
 | Long Prompt Weighting Stable Diffusion | **One** Stable Diffusion Pipeline without tokens length limit, and support parsing weighting in prompt.                                                                                                                                                                                                                                                                                                                                                                                                  | [Long Prompt Weighting Stable Diffusion](#long-prompt-weighting-stable-diffusion)                                                                 | -                                                                                                                                                                                                                  |                        [SkyTNT](https://github.com/SkyTNT) |
 | Speech to Image                        | Using automatic-speech-recognition to transcribe text and Stable Diffusion to generate images                                                                                                                                                                                                                                                                                                                                                                                                            | [Speech to Image](#speech-to-image)                               | -                                                                                                                                                                                                                  | [Mikail Duzenli](https://github.com/MikailINTech)
 | Wild Card Stable Diffusion | Stable Diffusion Pipeline that supports prompts that contain wildcard terms (indicated by surrounding double underscores), with values instantiated randomly from a corresponding txt file or a dictionary of possible values                                                                                                                                                                                                                                                                                                     | [Wildcard Stable Diffusion](#wildcard-stable-diffusion)                                                                 | -                                                                                                                                                                                                                  |                        [Shyam Sudhakaran](https://github.com/shyamsn97) |
+| Composable Stable Diffusion| Stable Diffusion Pipeline that supports prompts that contain "|" in prompts (as an AND condition) and weights (separated by "|" as well) to positively / negatively weight prompts.                                                                                                                                                                                                                                                                                                     | [Composable Stable Diffusion](#composable-stable-diffusion)                                                                 | -                                                                                                                                                                                                                  |                        [Mark Rich](https://github.com/MarkRich) |
+
 
 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.
 ```py
@@ -322,3 +324,50 @@ out = pipe(
     wildcard_files=["object.txt", "animal.txt"],
     num_prompt_samples=1
 )
+```
+
+
+### Composable Stable diffusion 
+
+```python
+import torch as th
+import numpy as np
+import torchvision.utils as tvu
+from diffusers import DiffusionPipeline
+
+has_cuda = th.cuda.is_available()
+device = th.device('cpu' if not has_cuda else 'cuda')
+
+pipe = DiffusionPipeline.from_pretrained(
+    "CompVis/stable-diffusion-v1-4",
+    use_auth_token=True,
+    custom_pipeline="composable_stable_diffusion",
+).to(device)
+
+
+def dummy(images, **kwargs):
+    return images, False
+
+pipe.safety_checker = dummy
+
+images = []
+generator = th.Generator("cuda").manual_seed(0)
+
+seed = 0
+prompt = "a forest | a camel"
+weights = " 1 | 1"  # Equal weight to each prompt. Cna be negative
+
+images = []
+for i in range(4):
+    res = pipe(
+        prompt,
+        guidance_scale=7.5,
+        num_inference_steps=50,
+        weights=weights,
+        generator=generator)
+    image = res.images[0]
+    images.append(image)
+
+for i, img in enumerate(images):
+    img.save(f"./composable_diffusion/image_{i}.png")
+```