chore: update Dockerfile to clone master branch of glid

Dockerfile

@@ -23,7 +23,7 @@ RUN apt-get update \
 RUN if [ -n "${APT_PACKAGES}" ]; then apt-get update && apt-get install --no-install-recommends -y ${APT_PACKAGES}; fi && \
     git clone --depth=1 https://github.com/JingyunLiang/SwinIR.git  && \
     git clone --depth=1 https://github.com/CompVis/latent-diffusion.git && \
-    git clone --depth=1 -b pref-remove-clip-as-service https://github.com/jina-ai/glid-3-xl.git && \
+    git clone --depth=1 https://github.com/jina-ai/glid-3-xl.git && \
     pip install jax[cuda11_cudnn82]==0.3.13 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113 && \
     cd latent-diffusion && pip install --timeout=1000 -e . && cd - && \

README.md

@@ -318,7 +318,7 @@ You can modify and extend the server flow as you like, e.g. changing the model,
 ### Run your own CLIP
 
 By default [`CLIPTorchEncoder`](https://hub.jina.ai/executor/gzpbl8jh) runs as an [external executor](https://docs.jina.ai/fundamentals/flow/add-executors/#external-executors).
-If want to run your own CLIP, you can do that by just changing `external: true` to `external: false` in [`flow.yml`](./flow.yml).
+If you want to run your own CLIP, you can do that by just changing `external: true` to `external: false` in [`flow.yml`](./flow.yml).
 
 <!-- start support-pitch -->
 ## Support