Update README.md

README.md

@@ -9,4 +9,40 @@ license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia
 language:
 - en
 pipeline_tag: text-to-image
----
+---
+
+For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11
+
+This is my first time using DF11 to compress a model outside the Flux architecture. The reason why it is much easier for me to compress Flux-based models is that
+
+
+### How to Use
+
+#### `diffusers`
+
+1. Install the DFloat11 pip package *(installs the CUDA kernel automatically; requires a CUDA-compatible GPU and PyTorch installed)*:
+
+    ```bash
+    pip install dfloat11[cuda12]
+    # or if you have CUDA version 11:
+    # pip install dfloat11[cuda11]
+    ```
+2. To use the DFloat11 model, run the following example code in Python:
+    ```python
+    import torch
+    from diffusers import Cosmos2TextToImagePipeline
+    from dfloat11 import DFloat11Model
+    pipe = Cosmos2TextToImagePipeline.from_pretrained("nvidia/Cosmos-Predict2-14B-Text2Image", torch_dtype=torch.bfloat16)
+    pipe.enable_model_cpu_offload()
+    DFloat11Model.from_pretrained("mingyi456/Cosmos-Predict2-14B-Text2Image-DF11", device='cpu', bfloat16_model=pipe.transformer)
+    prompt = "A futuristic cityscape at sunset, with flying cars, neon lights, and reflective water canals"
+    image = pipe(
+        prompt,
+        max_sequence_length=256,
+        generator=torch.Generator("cpu").manual_seed(0)
+    ).images[0]
+    image.save("Cosmos-Predict2-14B-Text2Image.png")
+    ```
+#### ComfyUI
+
+~~Follow the instructions (have not tested myself) here: https://github.com/LeanModels/ComfyUI-DFloat11~~