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Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

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I installed web-stable-diffusion according to the official documentation, but it couldn't run. It seemed to be caused by changes in relax. /web-stable-diffusion# python3 build.py --target cuda Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████|...

It would be nice to support https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt.

while loading model ,get ``` text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["id2label"]` will be overriden. Traceback (most recent call last): File "/srv/workspace/anaconda3/envs/web_sd/lib/python3.9/site-packages/torch/_dynamo/output_graph.py", line 670,...

can fixed with this patch ``` diff --git a/python/tvm/relax/frontend/torch/fx_translator.py b/python/tvm/relax/frontend/torch/fx_translator.py index fde31af60..392ff2b39 100644 --- a/python/tvm/relax/frontend/torch/fx_translator.py +++ b/python/tvm/relax/frontend/torch/fx_translator.py @@ -177,6 +177,23 @@ class TorchFXImporter: return self._call_binary_op( relax.op.add, relax.const(lhs, dtype=rhs.struct_info.dtype), rhs )...

I was wondering if you could make something like what i have attached(inside zip GitHub [Offline WEBSD.zip](https://github.com/mlc-ai/web-stable-diffusion/files/12263780/Offline.WEBSD.zip) doesn't allow upload of html files.) to this publicly available; it is an...

I get the error "Generate error, OperationError: The operation failed for an operation-specific reason" when trying to use the demo of both this (WEBSD) and WebLLM i have a computer...

GPU: Nvidia RTX 3090TI. 1. Firstly, I use the log db in the repo, it gives me 3.7s to get the result. 2. Then, I tried to tuning myself using...

when I use fp16 version ,I got an capture error on my 3090TI. pipe = StableDiffusionPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", revision='fp16', torch_dtype=torch.float16, local_files_only=True ) RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

`with tvm.transform.PassContext(opt_level=3): ex = relax.build(mod_deploy, args.target)` args.target: “cuda” pip install -I mlc_ai_nightly_cu121 -f https://mlc.ai/wheels but,get errors as below! Traceback (most recent call last): File "web-stable-diffusion/build.py", line 184, in build(mod, ARGS)...