Update README.md

README.md

@@ -655,4 +655,37 @@ Its goal is to let users explore sound in new ways while retaining precise contr
 - how it feels sonically  
 - how it fits into a production workflow  
 
-That combination of **musical structure**, **instrument identity**, **timbral control**, and **loop fidelity** is what defines the model.
+That combination of **musical structure**, **instrument identity**, **timbral control**, and **loop fidelity** is what defines the model.
+
+Code for running the weight in Diffusers
+```
+import scipy
+import torch
+import soundfile as sf
+from diffusers import StableAudioPipeline
+
+repo_id = "tintwotin/Foundation-1-Diffusers"
+pipe = StableAudioPipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+# define the prompts
+prompt = "Bass, FM Bass, Medium Delay, Medium Reverb, Low Distortion, Phaser, Sub Bass, Bass, Upper Mids, Acid, Gritty, Wide, Dubstep, Thick, Silky, Warm, Rich, Overdriven, Crisp, Deep, Clean, Pitch Bend, 303, 8 Bars, 140 BPM, E minor"
+negative_prompt = "Low quality."
+
+# set the seed for generator
+generator = torch.Generator("cuda").manual_seed(0)
+
+# run the generation
+audio = pipe(
+    prompt,
+    negative_prompt=negative_prompt,
+    num_inference_steps=200,
+    audio_end_in_s=10.0,
+    num_waveforms_per_prompt=1,
+    generator=generator,
+).audios
+
+output = audio[0].T.float().cpu().numpy()
+sf.write("./foundation_loop.wav", output, pipe.vae.sampling_rate)
+
+```