Update readme with link to fp16 single-file safetensors

README.md

@@ -63,7 +63,7 @@ image  = pipe(prompt=prompt, guidance_scale=3.0).images[0]
 
 ### Using the model with Automatic1111/ComfyUI
 
-In order to use the model with software such as Automatic1111 or ComfyUI you can use [`playground-v2.safetensors`](https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic/raw/main/playgroundv2.safetensors) file.
+In order to use the model with software such as Automatic1111 or ComfyUI you can use [`playground-v2.fp16.safetensors`](https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic/blob/main/playground-v2.fp16.safetensors) file.
 
 ### User Study
 
@@ -101,4 +101,4 @@ We release this benchmark to the public and encourage the community to adopt it
 | [playground-v2-512px-base](https://huggingface.co/playgroundai/playground-v2-512px-base)     | 9.55   | 32.08      |
 
 
-Apart from [playground-v2-1024px-aesthetic](https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic), we release intermediate checkpoints at different training stages to the community in order to foster foundation model research in pixels. Here, we report the FID score and CLIP score on the MSCOCO14 evaluation set for the reference purposes. (Note that our reported numbers may differ from the numbers reported in SDXL’s published results, as our prompt list may be different.)
+Apart from [playground-v2-1024px-aesthetic](https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic), we release intermediate checkpoints at different training stages to the community in order to foster foundation model research in pixels. Here, we report the FID score and CLIP score on the MSCOCO14 evaluation set for the reference purposes. (Note that our reported numbers may differ from the numbers reported in SDXL’s published results, as our prompt list may be different.)