Update SD readme

Author: powderluv

shark/examples/shark_inference/stable_diffusion/README.md

@@ -4,6 +4,41 @@
 
 Follow setup instructions in the main [README.md](https://github.com/nod-ai/SHARK#readme) for regular usage. 
 
+ 
+## Using other supported Stable Diffusion variants with SHARK:
+
+Currently we support fine-tuned versions of Stable Diffusion such as:
+- [AnythingV3](https://huggingface.co/Linaqruf/anything-v3.0)
+- [Analog Diffusion](https://huggingface.co/wavymulder/Analog-Diffusion)
+
+use the flag `--hf_model_id=` to specify the repo-id of the model to be used.
+
+```shell
+python .\shark\examples\shark_inference\stable_diffusion\main.py --hf_model_id="Linaqruf/anything-v3.0" --max_length=77 --prompt="1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
+```
+
+## Run a custom model using a `.ckpt` file:
+* Install the following by running :-
+```shell
+pip install omegaconf safetensors pytorch_lightning
+```
+* Download a [.ckpt](https://huggingface.co/andite/anything-v4.0/resolve/main/anything-v4.0-pruned-fp32.ckpt) file in case you don't have a locally generated `.ckpt` file for StableDiffusion.
+
+* Now pass the above `.ckpt` file to `ckpt_loc` command-line argument using the following :-
+```shell
+python3.10 main.py --precision=fp16 --device=vulkan --prompt="tajmahal, oil on canvas, sunflowers, 4k, uhd" --max_length=64 --import_mlir --ckpt_loc="/path/to/.ckpt/file" --hf_model_id="<HuggingFace repo-id>"
+```
+* We use a combination of 3 flags to make this feature work : `import_mlir`, `ckpt_loc` and `hf_model_id`, of which `import_mlir` needs to be present. In case `ckpt_loc` is not specified then a [default](https://huggingface.co/stabilityai/stable-diffusion-2-1-base) HuggingFace repo-id is run via `hf_model_id`. So, you need to specify which base model's `.ckpt` you are using via `hf_model_id`.
+
+* Use custom model `.ckpt` files from [HuggingFace-StableDiffusion](https://huggingface.co/models?other=stable-diffusion) to generate images. And in case you want to use any variants from HuggingFace then add the mapping of the variant to their base model in [variants.json](https://github.com/nod-ai/SHARK/blob/main/shark/examples/shark_inference/stable_diffusion/resources/variants.json).
+
+
+
+
+</details>
+  <details>
+  <summary>Debug Commands</summary>
+
 ## Debug commands and other advanced usage follows.
 
 ```shell
@@ -43,27 +78,4 @@ unzip ~/.local/shark_tank/<your unet>/inputs.npz
 iree-benchmark-module --module_file=/path/to/output/vmfb --entry_function=forward --function_input=@arr_0.npy --function_input=1xf16 --function_input=@arr_2.npy --function_input=@arr_3.npy --function_input=@arr_4.npy  
 ```
 
-## Using other supported Stable Diffusion variants with SHARK:
-
-Currently we support the following fine-tuned versions of Stable Diffusion:
-- [AnythingV3](https://huggingface.co/Linaqruf/anything-v3.0)
-- [Analog Diffusion](https://huggingface.co/wavymulder/Analog-Diffusion)
-
-use the flag `--hf_model_id=` to specify the repo-id of the model to be used.
-
-```shell
-python .\shark\examples\shark_inference\stable_diffusion\main.py --hf_model_id="Linaqruf/anything-v3.0" --max_length=77 --prompt="1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
-```
-
-## Using `ckpt_loc` argument to run a custom model using a `.ckpt` file:
-* Install the following by running :-
-```shell
-pip install omegaconf safetensors pytorch_lightning
-```
-* To try this feature you may download a [.ckpt](https://huggingface.co/andite/anything-v4.0/resolve/main/anything-v4.0-pruned-fp32.ckpt) file in case you don't have a locally generated `.ckpt` file for StableDiffusion.
-* Now pass the above `.ckpt` file to `ckpt_loc` command-line argument using the following :-
-```shell
-python3.10 main.py --precision=fp16 --device=vulkan --prompt="tajmahal, oil on canvas, sunflowers, 4k, uhd" --max_length=64 --import_mlir --ckpt_loc="/path/to/.ckpt/file" --hf_model_id="<HuggingFace repo-id>"
-```
-* We use a combination of 3 flags to make this feature work : `import_mlir`, `ckpt_loc` and `hf_model_id`, of which `import_mlir` needs to be present. In case `ckpt_loc` is not specified then a [default](https://huggingface.co/stabilityai/stable-diffusion-2-1-base) HuggingFace repo-id is run via `hf_model_id`. So, you need to specify which base model's `.ckpt` you are using via `hf_model_id`.
-* Use custom model `.ckpt` files from [HuggingFace-StableDiffusion](https://huggingface.co/models?other=stable-diffusion) to generate images. And in case you want to use any variants from HuggingFace then add the mapping of the variant to their base model in [variants.json](https://github.com/nod-ai/SHARK/blob/main/shark/examples/shark_inference/stable_diffusion/resources/variants.json).
+</details>