[ROCM/Linux]: VBAR allocation fails on RDNA1

Stacktrace with a clean ComfyUI install:
```
uv run main.py[INFO] setup plugin alembic.autogenerate.schemas
[INFO] setup plugin alembic.autogenerate.tables
[INFO] setup plugin alembic.autogenerate.types
[INFO] setup plugin alembic.autogenerate.constraints
[INFO] setup plugin alembic.autogenerate.defaults
[INFO] setup plugin alembic.autogenerate.comments
[INFO] setup plugin alembic.autogenerate.checkconstraint_byname
[INFO] Found comfy_kitchen backend hip: {'available': False, 'disabled': False, 'unavailable_reason': 'architecture is not in the validated target manifest: gfx1010, gfx90c', 'capabilities': []}
[INFO] Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'int8_linear', 'na3d', 'quantize_and_rotate_rowwise', 'quantize_int8_rowwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'w4a8_int8_linear']}
[INFO] Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'convrot_w4a4_linear', 'dequantize_convrot_w4a4_weight', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_embedding', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_mxfp8', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'dequantize_w4a8_int8_weight', 'gemv_awq_w4a16', 'int8_linear', 'na3d', 'prepare_int4_weight_for_int8_linear', 'quantize_and_rotate_rowwise', 'quantize_convrot_w4a4_weight', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'quantize_w4a8_int8_weight', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'rotate_int8_convrot_weight', 'scaled_mm_mxfp8', 'scaled_mm_nvfp4', 'scaled_mm_svdquant_w4a4', 'stochastic_rounding_fp8', 'w4a8_int8_linear']}
[INFO] Found comfy_kitchen backend cuda: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['adaln', 'apply_rope', 'apply_rope1', 'apply_rope1_', 'apply_rope_', 'apply_rope_split_half', 'apply_rope_split_half1', 'apply_rope_split_half1_', 'apply_rope_split_half_', 'convrot_w4a4_linear', 'dequantize_convrot_w4a4_weight', 'dequantize_int8_convrot_weight', 'dequantize_int8_convrot_weight_dtype', 'dequantize_int8_simple', 'dequantize_int8_simple_dtype', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'dequantize_w4a8_int8_weight', 'gemv_awq_w4a16', 'na3d', 'prepare_int4_weight_for_int8_linear', 'quantize_and_rotate_rowwise', 'quantize_convrot_w4a4_weight', 'quantize_int8_convrot_weight', 'quantize_int8_rowwise', 'quantize_int8_tensorwise', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'quantize_svdquant_w4a4', 'quantize_w4a8_int8_weight', 'rms_adaln', 'rms_rope', 'rms_rope1', 'rms_rope1_', 'rms_rope_', 'rms_rope_split_half', 'rms_rope_split_half1', 'rms_rope_split_half1_', 'rms_rope_split_half_', 'rotate_int8_convrot_weight', 'scaled_mm_svdquant_w4a4', 'stochastic_rounding_fp8', 'w4a8_int8_linear']}
[INFO] Checkpoint files will always be loaded safely.
[INFO] Total VRAM 6128 MB, total RAM 63664 MB
[INFO] pytorch version: 2.12.0+rocm10.1.0a20260824
[INFO] AMD arch: gfx1010
[INFO] ROCm version: (7, 16)
[INFO] Set vram state to: NORMAL_VRAM
[INFO] Device: cuda:0 AMD Radeon RX 5600M : native
[INFO] Device: cuda:1 AMD Radeon Graphics : native
[INFO] Using async weight offloading with 2 streams
[INFO] Enabled pinned memory 57297.0
[INFO] Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention
[INFO] aimdo: /project/src/control.c:276:INFO:comfy-aimdo inited for GPU: AMD Radeon RX 5600M (VRAM: 6128 MB)
[INFO] aimdo: /project/src/control.c:276:INFO:comfy-aimdo inited for GPU: AMD Radeon Graphics (VRAM: 32768 MB)
[INFO] DynamicVRAM support detected and enabled
[INFO] Python version: 3.14.5 (main, May 10 2026, 19:28:16) [Clang 22.1.3 ]
[INFO] ComfyUI version: 0.33.0
[INFO] comfy-aimdo version: 0.4.13
[INFO] comfy-kitchen version: 0.2.31
[INFO] comfyui-frontend-package version: 1.49.6
[INFO] comfyui-workflow-templates version: 0.11.46
[INFO] comfyui-embedded-docs version: 0.5.10
[INFO] comfy-kitchen version: 0.2.31
[INFO] comfy-aimdo version: 0.4.13
[INFO] [Prompt Server] web root: /home/aaron/Projects/personal/clean_comfy/ComfyUI/.venv/lib/python3.14/site-packages/comfyui_frontend_package/static
[INFO] Asset seeder disabled
[INFO] No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate'
[INFO]
Import times for custom nodes:
[INFO] 0.0 seconds: /home/aaron/Projects/personal/clean_comfy/ComfyUI/custom_nodes/websocket_image_save.py
[INFO]
[INFO] Context impl SQLiteImpl.
[INFO] Will assume non-transactional DDL.
[INFO] Using RAM pressure cache.
[INFO] Starting server

[INFO] To see the GUI go to: http://127.0.0.1:8188
[INFO] got prompt
[INFO] model weight dtype torch.float16, manual cast: None
[INFO] model_type EPS
[INFO] Using split attention in VAE
[INFO] Using split attention in VAE
[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
[INFO] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
[INFO] Requested to load SD1ClipModel
[ERROR] aimdo: /project/src/model-vbar.c:236:ERROR:Could not reseve Virtual Address space for VBAR
[ERROR] !!! Exception during processing !!! VBAR allocation failed
[ERROR] Traceback (most recent call last):
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/execution.py", line 545, in execute
output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/execution.py", line 344, in get_output_data
return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/execution.py", line 318, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/execution.py", line 306, in process_inputs
result = f(**inputs)
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/nodes.py", line 77, in encode
return (clip.encode_from_tokens_scheduled(tokens), )
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/sd.py", line 341, in encode_from_tokens_scheduled
pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True)
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/sd.py", line 405, in encode_from_tokens
self.load_model(tokens)
~~~~~~~~~~~~~~~^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/sd.py", line 463, in load_model
model_management.load_models_gpu([self.patcher], memory_required=memory_used)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_management.py", line 1004, in load_models_gpu
loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_management.py", line 790, in model_load
self.model_use_more_vram(use_more_vram, force_patch_weights=force_patch_weights)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_management.py", line 818, in model_use_more_vram
return self.model.partially_load(self.device, extra_memory, force_patch_weights=force_patch_weights)
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_patcher.py", line 2153, in partially_load
raise e
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_patcher.py", line 2150, in partially_load
self.load(device_to, dirty=dirty)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_patcher.py", line 1873, in load
vbar = self._vbar_get(create=True)
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/comfy/model_patcher.py", line 1805, in _vbar_get
vbar = comfy_aimdo.model_vbar.ModelVBAR(self.model_size() * 10, self.load_device.index)
File "/home/aaron/Projects/personal/clean_comfy/ComfyUI/.venv/lib/python3.14/site-packages/comfy_aimdo/model_vbar.py", line 54, in __init__
raise MemoryError("VBAR allocation failed")
MemoryError: VBAR allocation failed

[INFO] Prompt executed in 0.22 seconds

```
Enabling cudamallocasync has no effect

Reproduce the failure on the clean ComfyUI setup described for an RDNA1 gfx1010 device. Start with /project/src/model-vbar.c:236, then inspect comfy_aimdo/model_vbar.py:54 and ComfyUI/comfy/model_patcher.py:1805; done means VBAR allocation succeeds and the reported prompt proceeds without the MemoryError.

Written by the indexing model from the issue text.