Update README.md

README.md

@@ -64,6 +64,7 @@ widget:
 
 ## 🔥 News
 
+- **[2026-05-15]** **Official Diffusers support** added — Motif-Video 2B is now officially supported in [Diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/motif_video), enabling native pipelines, schedulers, and ecosystem tooling integration.
 - **[2026-04-29]** **RTX 4090 benchmarks** added — SageAttention achieves ~3.16× speedup, all GGUF variants fit in 24 GB. See [GGUF + SageAttention](docs/gguf-sageattention.md#benchmark).
 - **[2026-04-28]** **ComfyUI custom nodes** released: [ComfyUI-MotifVideo2B](https://github.com/MotifTechnologies/ComfyUI-MotifVideo2B). GGUF workflow support coming soon.
 - **[2026-04-28]** **GGUF quantized weights** now available at [Motif-Video-2B-GGUF](https://huggingface.co/Motif-Technologies/Motif-Video-2B-GGUF) — up to 2.7 GB VRAM savings with no speed penalty. **SageAttention** support for ~2× faster inference. See [GGUF + SageAttention](#🧊-gguf--sageattention) below.
@@ -146,7 +147,7 @@ For the full derivation of why Shared Cross-Attention shares K/V but not Q, and
 
 ```bash
 pip install "transformers>=5.5.4" torch accelerate ftfy einops sentencepiece regex Pillow imageio imageio-ffmpeg
-pip install git+https://github.com/waitingcheung/diffusers.git@feat/motif-video
+pip install git+https://github.com/huggingface/diffusers
 ```
 
 ### Text-to-Video (T2V)
@@ -206,23 +207,6 @@ output = pipe(
 export_to_video(output.frames[0], "output.mp4", fps=24)
 ```
 
-### CLI Inference
-
-```bash
-# Text-to-Video (default settings)
-python inference.py \
-  --prompt "A woman standing in a sunlit field as..." \
-  --output t2v_output.mp4
-
-# With SageAttention (~2x faster, requires sageattention package)
-python inference.py \
-  --prompt "Three friends stride through a sun-bleached meadow..." \
-  --use-sage-attention \
-  --output t2v_output.mp4
-```
-
-See `inference.py --help` for all available options.
-
 ### Recommended Settings
 
 | Parameter | Default | Notes |