Update README.md

README.md

@@ -8,7 +8,7 @@ language:
 pipeline_tag: text-to-image
 library_name: diffusers
 ---
-For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11
+For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11
 
 This is my first time using DF11 to compress a model outside the Flux architecture. The process for compressing Flux-based models is much more straightforward as compared to other architectures because the compression code requires a `pattern_dict` as input, but the original [example code](https://github.com/LeanModels/DFloat11/tree/master/examples/compress_flux1) only provides it for Flux, which meant I had to learn the notation myself and modify it to fit other models. At least Chroma is just a pruned version of Flux, so it was relatively simple to derive the correct `pattern_dict` this time. Do let me know if you run into any problems.
 
@@ -65,7 +65,7 @@ pattern_dict = {
             torch_dtype=torch.bfloat16
         ).to(torch.bfloat16)
        
-    pipe = Cosmos2TextToImagePipeline.from_pretrained(
+    pipe = ChromaPipeline.from_pretrained(
         "lodestones/Chroma1-HD",
         transformer=transformer,
         torch_dtype=torch.bfloat16