SHARK: 539 fails to compile the model

brand new user here… day 1. having some problems getting any output at all. followed instructions on github, downloaded latest amd drivers (have an rx6700xt), install went fine. however every attempt at just clicking “generate image” with default params regardless of model selected fails with error. for example:

Found device AMD Radeon RX 6700 XT. Using target triple rdna2-unknown-windows.
Using tuned models for prompthero/openjourney/fp16/vulkan://00000000-0a00-0000-0000-000000000000.
Downloading (…)cheduler_config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 308/308 [00:00<00:00, 308kB/s]
loading existing vmfb from: C:\shark\euler_scale_model_input_1_512_512fp16.vmfb
WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files.
loading existing vmfb from: C:\shark\euler_step_1_512_512fp16.vmfb
WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files.
Inferring base model configuration.
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Downloading (…)_model.safetensors";: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.44G/3.44G [10:00<00:00, 5.72MB/s]
Downloading (…)ain/unet/config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 743/743 [00:00<00:00, 743kB/s]
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Loading Winograd config file from  C:\Users\gilberts\.local/shark_tank/configs/unet_winograd_vulkan.json
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Retrying with a different base model configuration
Traceback (most recent call last):
  File "gradio\routes.py", line 374, in run_predict
  File "gradio\blocks.py", line 1017, in process_api
  File "gradio\blocks.py", line 835, in call_function
  File "anyio\to_thread.py", line 31, in run_sync
  File "anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
  File "anyio\_backends\_asyncio.py", line 867, in run
  File "apps\stable_diffusion\scripts\txt2img.py", line 116, in txt2img_inf
  File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 220, in from_pretrained
  File "apps\stable_diffusion\src\models\model_wrappers.py", line 383, in __call__
SystemExit: Cannot compile the model. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues
Found device AMD Radeon RX 6700 XT. Using target triple rdna2-unknown-windows.
Using tuned models for wavymulder/Analog-Diffusion/fp16/vulkan://00000000-0a00-0000-0000-000000000000.
Downloading (…)cheduler_config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 346/346 [00:00<00:00, 346kB/s]
loading existing vmfb from: C:\shark\euler_scale_model_input_1_512_512fp16.vmfb
WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files.
loading existing vmfb from: C:\shark\euler_step_1_512_512fp16.vmfb
WARNING: [Loader Message] Code 0 : windows_read_data_files_in_registry: Registry lookup failed to get layer manifest files.
Inferring base model configuration.
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Downloading (…)_pytorch_model.bin";: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.44G/3.44G [09:53<00:00, 5.80MB/s]
Downloading (…)ain/unet/config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 877/877 [00:00<00:00, 876kB/s]
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Loading Winograd config file from  C:\Users\gilberts\.local/shark_tank/configs/unet_winograd_vulkan.json
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Retrying with a different base model configuration
Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with:

pip install accelerate

.
Retrying with a different base model configuration
Traceback (most recent call last):
  File "gradio\routes.py", line 374, in run_predict
  File "gradio\blocks.py", line 1017, in process_api
  File "gradio\blocks.py", line 835, in call_function
  File "anyio\to_thread.py", line 31, in run_sync
  File "anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
  File "anyio\_backends\_asyncio.py", line 867, in run
  File "apps\stable_diffusion\scripts\txt2img.py", line 116, in txt2img_inf
  File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 220, in from_pretrained
  File "apps\stable_diffusion\src\models\model_wrappers.py", line 383, in __call__
SystemExit: Cannot compile the model. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues