rx 550 4 gb

[thgcnet]

any chance of working on a noble and tiny 4gb rx 550, it presented the error:

WARNING: [Loader Message] Code 0 : Layer VK_LAYER_RTSS uses API version 1.1 which is older than the application specified API version of 1.3. May cause issues.
Error registering modules: D:\a\SHARK-Runtime\SHARK-Runtime\c\runtime\src\iree\hal\drivers\vulkan\vma_allocator.cc:693: RESOURCE_EXHAUSTED; VK_ERROR_OUT_OF_DEVICE_MEMORY; vmaCreateBuffer; while invoking native function hal.allocator.allocate; while calling import;
[ 1] native hal.allocator.allocate:0 -
[ 0] bytecode module@1:27052 -
Retrying with a different base model configuration

[thgcnet]

https://www.amd.com/pt/support/professional-graphics/radeon-pro/radeon-pro-series/radeon-pro-duo-polaris

PS C:\Users\br\Downloads\shark> .\shark.exe --height 128 --width 128 --precision 16 --vulkan_large_heap_block_size 3500
shark_tank local cache is located at C:\Users\thgcn.local/shark_tank/ . You may change this by setting the --local_tank_cache= flag
vulkan devices are available.
cuda devices are not available.
diffusers\models\cross_attention.py:30: FutureWarning: Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.
Running on local URL: http://0.0.0.0:8080

To create a public link, set share=True in launch().
Found device Radeon RX550/550 Series. Using target triple rdna2-unknown-windows.
Tuned models are currently not supported for this setting.
No vmfb found. Compiling and saving to C:\Users\thgcn\Downloads\shark\euler_scale_model_input_1_128_128_vulkan_16.vmfb
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\thgcn\Downloads\shark\euler_scale_model_input_1_128_128_vulkan_16.vmfb.
No vmfb found. Compiling and saving to C:\Users\thgcn\Downloads\shark\euler_step_1_128_128_vulkan_16.vmfb
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\thgcn\Downloads\shark\euler_step_1_128_128_vulkan_16.vmfb.
use_tuned? sharkify: False
_1_64_128_128_16_stable-diffusion-2-1-base
transformers\modeling_utils.py:429: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
with safe_open(checkpoint_file, framework="pt") as f:
No vmfb found. Compiling and saving to C:\Users\thgcn\Downloads\shark\clip_1_64_128_128_16_stable-diffusion-2-1-base_vulkan.vmfb
Using target triple -iree-vulkan-target-triple=rdna2-unknown-windows from command line args
Saved vmfb in C:\Users\thgcn\Downloads\shark\clip_1_64_128_128_16_stable-diffusion-2-1-base_vulkan.vmfb.
'16'
Retrying with a different base model configuration
'16'
Retrying with a different base model configuration
'16'
Retrying with a different base model configuration
'16'
Retrying with a different base model configuration
'16'
Retrying with a different base model configuration
Traceback (most recent call last):
File "gradio\routes.py", line 401, in run_predict
File "gradio\blocks.py", line 1302, in process_api
File "gradio\blocks.py", line 1039, 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 "gradio\utils.py", line 491, in async_iteration
File "ui\txt2img_ui.py", line 177, in txt2img_inf
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_txt2img.py", line 122, in generate_images
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 203, in produce_img_latents
File "apps\stable_diffusion\src\pipelines\pipeline_shark_stable_diffusion_utils.py", line 103, in load_unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 640, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 635, in unet
File "apps\stable_diffusion\src\models\model_wrappers.py", line 59, in check_compilation
SystemExit: Could not compile Unet. Please create an issue with the detailed log at https://github.com/nod-ai/SHARK/issues