Trying to run Stable Diffusion with RX 590

System:
  Kernel: 5.19.8-zen1-1-zen arch: x86_64 bits: 64 compiler: gcc v: 12.2.0
    parameters: BOOT_IMAGE=/@/boot/vmlinuz-linux-zen
    root=UUID=9d94f1a7-6727-49e7-ada1-357e62c1d7ef rw [email protected]
    quiet quiet splash rd.udev.log_priority=3 vt.global_cursor_default=0
    resume=UUID=0e3b11bb-b58e-4b86-b090-7c8791dbc60b loglevel=3
    amdgpu.ppfeaturemask=0xffffffff
  Desktop: KDE Plasma v: 5.25.5 tk: Qt v: 5.15.6 wm: kwin_wayland vt: 2
    dm: SDDM Distro: Garuda Linux base: Arch Linux
Machine:
  Type: Desktop System: Gigabyte product: AB350-Gaming 3 v: N/A
    serial: <superuser required>
  Mobo: Gigabyte model: AB350-Gaming 3-CF serial: <superuser required>
    UEFI: American Megatrends LLC. v: F52h date: 07/27/2022
Battery:
  Device-1: sony_controller_battery_06:ed:69:89:63:25 model: N/A serial: N/A
    charge: N/A status: full
CPU:
  Info: model: AMD Ryzen 5 4500 bits: 64 type: MT MCP arch: Zen 2 gen: 3
    built: 2020-22 process: TSMC n7 (7nm) family: 0x17 (23) model-id: 0x60 (96)
    stepping: 1 microcode: 0x8600106
  Topology: cpus: 1x cores: 6 tpc: 2 threads: 12 smt: enabled cache:
    L1: 384 KiB desc: d-6x32 KiB; i-6x32 KiB L2: 3 MiB desc: 6x512 KiB
    L3: 8 MiB desc: 2x4 MiB
  Speed (MHz): avg: 3220 high: 3593 min/max: N/A cores: 1: 2972 2: 2840
    3: 2947 4: 2937 5: 3593 6: 3593 7: 3593 8: 2994 9: 3593 10: 3593 11: 2994
    12: 2994 bogomips: 86242
  Flags: avx avx2 ht lm nx pae sse sse2 sse3 sse4_1 sse4_2 sse4a ssse3 svm
  Vulnerabilities:
  Type: itlb_multihit status: Not affected
  Type: l1tf status: Not affected
  Type: mds status: Not affected
  Type: meltdown status: Not affected
  Type: mmio_stale_data status: Not affected
  Type: retbleed mitigation: untrained return thunk; SMT enabled with STIBP
    protection
  Type: spec_store_bypass mitigation: Speculative Store Bypass disabled via
    prctl
  Type: spectre_v1 mitigation: usercopy/swapgs barriers and __user pointer
    sanitization
  Type: spectre_v2 mitigation: Retpolines, IBPB: conditional, STIBP:
    always-on, RSB filling, PBRSB-eIBRS: Not affected
  Type: srbds status: Not affected
  Type: tsx_async_abort status: Not affected
Graphics:
  Device-1: AMD Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]
    vendor: XFX Pine driver: amdgpu v: kernel arch: GCN-4 code: Arctic Islands
    process: GF 14nm built: 2016-20 pcie: gen: 3 speed: 8 GT/s lanes: 16
    ports: active: DP-1,DVI-D-1,HDMI-A-1 empty: DP-2,DP-3 bus-ID: 01:00.0
    chip-ID: 1002:67df class-ID: 0300
  Display: wayland server: X.org v: 1.21.1.4 with: Xwayland v: 22.1.3
    compositor: kwin_wayland driver: X: loaded: amdgpu unloaded: modesetting
    alternate: fbdev,vesa gpu: amdgpu d-rect: 5760x1080 display-ID: 0
  Monitor-1: DP-1 pos: center res: 1920x1080 size: N/A modes: N/A
  Monitor-2: DVI-D-1 pos: primary,left res: 1920x1080 size: N/A modes: N/A
  Monitor-3: HDMI-A-1 pos: right res: 1920x1080 size: N/A modes: N/A
  OpenGL: renderer: AMD Radeon RX 590 Series (polaris10 LLVM 14.0.6 DRM
    3.47 5.19.8-zen1-1-zen) v: 4.6 Mesa 22.1.7 direct render: Yes
Audio:
  Device-1: AMD Ellesmere HDMI Audio [Radeon RX 470/480 / 570/580/590]
    vendor: XFX Pine driver: snd_hda_intel bus-ID: 3-1.4.3:12 v: kernel pcie:
    chip-ID: 046d:0a8f class-ID: 0300 gen: 1 speed: 2.5 GT/s lanes: 16
    link-max: gen: 3 speed: 8 GT/s bus-ID: 01:00.1 chip-ID: 1002:aaf0
    class-ID: 0403
  Device-2: AMD Renoir Radeon High Definition Audio driver: snd_hda_intel
    v: kernel pcie: gen: 3 speed: 8 GT/s lanes: 16 link-max: gen: 4
    speed: 16 GT/s bus-ID: 08:00.1 chip-ID: 1002:1637 class-ID: 0403
  Device-3: AMD Family 17h/19h HD Audio vendor: Gigabyte
    driver: snd_hda_intel v: kernel pcie: gen: 3 speed: 8 GT/s lanes: 16
    link-max: gen: 4 speed: 16 GT/s bus-ID: 08:00.6 chip-ID: 1022:15e3
    class-ID: 0403
  Device-4: Logitech H390 headset with microphone type: USB
    driver: hid-generic,snd-usb-audio,usbhid
  Sound Server-1: ALSA v: k5.19.8-zen1-1-zen running: yes
  Sound Server-2: sndio v: N/A running: no
  Sound Server-3: PulseAudio v: 16.1 running: no
  Sound Server-4: PipeWire v: 0.3.57 running: yes
Network:
  Device-1: Realtek RTL8111/8168/8411 PCI Express Gigabit Ethernet
    vendor: Gigabyte driver: r8169 v: kernel pcie: gen: 1 speed: 2.5 GT/s
    lanes: 1 port: e000 bus-ID: 04:00.0 chip-ID: 10ec:8168 class-ID: 0200
  IF: eno1 state: up speed: 100 Mbps duplex: full mac: <filter>
Bluetooth:
  Device-1: Cambridge Silicon Radio Bluetooth Dongle (HCI mode) type: USB
    driver: btusb v: 0.8 bus-ID: 1-7:3 chip-ID: 0a12:0001 class-ID: e001
  Report: bt-adapter ID: hci0 rfk-id: 0 state: up address: <filter>
Drives:
  Local Storage: total: 3.18 TiB used: 749.79 GiB (23.0%)
  SMART Message: Unable to run smartctl. Root privileges required.
  ID-1: /dev/nvme0n1 maj-min: 259:0 vendor: Crucial model: CT500P2SSD8
    size: 465.76 GiB block-size: physical: 512 B logical: 512 B
    speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter> rev: P2CR048
    temp: 41.9 C scheme: GPT
  ID-2: /dev/sda maj-min: 8:0 vendor: Crucial model: CT500MX500SSD1
    size: 465.76 GiB block-size: physical: 4096 B logical: 512 B
    speed: 6.0 Gb/s type: SSD serial: <filter> rev: 023
  ID-3: /dev/sdb maj-min: 8:16 vendor: Crucial model: CT500MX500SSD1
    size: 465.76 GiB block-size: physical: 4096 B logical: 512 B
    speed: 6.0 Gb/s type: SSD serial: <filter> rev: 023
  ID-4: /dev/sdc maj-min: 8:32 type: USB vendor: Western Digital model: WD
    My Passport 0748 size: 1.82 TiB block-size: physical: 512 B
    logical: 512 B type: N/A serial: <filter> rev: 1019 scheme: GPT
Partition:
  ID-1: / raw-size: 431.13 GiB size: 431.13 GiB (100.00%) used: 159.46 GiB
    (37.0%) fs: btrfs dev: /dev/nvme0n1p2 maj-min: 259:2
  ID-2: /boot/efi raw-size: 300 MiB size: 299.4 MiB (99.80%) used: 608 KiB
    (0.2%) fs: vfat dev: /dev/nvme0n1p1 maj-min: 259:1
  ID-3: /home raw-size: 431.13 GiB size: 431.13 GiB (100.00%) used: 159.46
    GiB (37.0%) fs: btrfs dev: /dev/nvme0n1p2 maj-min: 259:2
  ID-4: /var/log raw-size: 431.13 GiB size: 431.13 GiB (100.00%) used: 159.46
    GiB (37.0%) fs: btrfs dev: /dev/nvme0n1p2 maj-min: 259:2
  ID-5: /var/tmp raw-size: 431.13 GiB size: 431.13 GiB (100.00%) used: 159.46
    GiB (37.0%) fs: btrfs dev: /dev/nvme0n1p2 maj-min: 259:2
Swap:
  Kernel: swappiness: 10 (default 60) cache-pressure: 100 (default)
  ID-1: swap-1 type: zram size: 31.22 GiB used: 0 KiB (0.0%) priority: 100
    dev: /dev/zram0
  ID-2: swap-2 type: partition size: 34.34 GiB used: 0 KiB (0.0%)
    priority: -2 dev: /dev/nvme0n1p3 maj-min: 259:3
Sensors:
  System Temperatures: cpu: 38.6 C mobo: 26.0 C gpu: amdgpu temp: 41.0 C
  Fan Speeds (RPM): cpu: 0 fan-1: 0 fan-3: 0 gpu: amdgpu fan: 647
  Power: 12v: N/A 5v: N/A 3.3v: 1.69 vbat: 1.58 gpu: amdgpu watts: 45.01
Info:
  Processes: 359 Uptime: 8m wakeups: 1 Memory: 31.22 GiB used: 3.36 GiB
  (10.8%) Init: systemd v: 251 default: graphical tool: systemctl
  Compilers: gcc: 12.2.0 alt: 11 clang: 14.0.6 Packages: pacman: 2174
  lib: 556 Shell: fish v: 3.5.1 default: Bash v: 5.1.16 running-in: konsole
  inxi: 3.3.20
e[1;34mGaruda (2.6.7-1):e[0m
e[1;34m  System install date:e[0m     2022-09-11
e[1;34m  Last full system update:e[0m 2022-09-14
e[1;34m  Is partially upgraded:  e[0m No
e[1;34m  Relevant software:      e[0m NetworkManager
e[1;34m  Windows dual boot:      e[0m No/Undetected
e[1;34m  Snapshots:              e[0m Snapper
e[1;34m  Failed units:           e[0m 

Hi I am trying to run Stable Diffusion on AMD HW, RX 590 Fatboy. I installed ROCm with the Arch Wiki guide here --> GPGPU-Wiki and below I show some outout that seems to indicate that my GPU is supported.

This is the terminal output when I try the program:

python scripts/txt2img.py --prompt "some text" --outdir ./output
/home/binarydepth/.conda/envs/ldm/lib/python3.8/site-packages/torchvision/io/image.py:13: ***UserWarning: Failed to load image Python extension: libc10_cuda.so: cannot open shared object file: No such file or directory***
warn(f"Failed to load image Python extension: {e}")
Global seed set to 42
Loading model from models/ldm/stable-diffusion-v1/model.ckpt
Traceback (most recent call last):
File "scripts/txt2img.py", line 345, in <module>
main()
File "scripts/txt2img.py", line 241, in main
model = load_model_from_config(config, f"{opt.ckpt}")
File "scripts/txt2img.py", line 51, in load_model_from_config
pl_sd = torch.load(ckpt, map_location="cpu")
File "/home/binarydepth/.conda/envs/ldm/lib/python3.8/site-packages/torch/serialization.py",line 713, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/binarydepth/.conda/envs/ldm/lib/python3.8/site-packages/torch/serialization.py",line 920, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.
Number of platforms                               1
  Platform Name                                   AMD Accelerated Parallel Processing
  Platform Vendor                                 Advanced Micro Devices, Inc.
  Platform Version                                OpenCL 2.1 AMD-APP (3380.4)
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_icd cl_amd_event_callback cl_amd_offline_devices 
  Platform Extensions function suffix             AMD
  Platform Host timer resolution                  1ns

  Platform Name                                   AMD Accelerated Parallel Processing
Number of devices                                 1
  Device Name                                     Ellesmere
  Device Vendor                                   Advanced Micro Devices, Inc.
  Device Vendor ID                                0x1002
  Device Version                                  OpenCL 2.0 AMD-APP (3380.4)
  Driver Version                                  3380.4 (PAL,HSAIL)
  Device OpenCL C Version                         OpenCL C 2.0 
  Device Type                                     GPU
  Device Board Name (AMD)                         AMD Radeon RX 590 Series
  Device PCI-e ID (AMD)                           0x67df
  Device Topology (AMD)                           PCI-E, 0000:01:00.0
  Device Profile                                  FULL_PROFILE
  Device Available                                Yes
  Compiler Available                              Yes
  Linker Available                                Yes
  Max compute units                               36
  SIMD per compute unit (AMD)                     4
  SIMD width (AMD)                                16
  SIMD instruction width (AMD)                    1
  Max clock frequency                             1545MHz
  Graphics IP (AMD)                               8.0
  Device Partition                                (core)
    Max number of sub-devices                     36
    Supported partition types                     None
    Supported affinity domains                    (n/a)
  Max work item dimensions                        3
  Max work item sizes                             1024x1024x1024
  Max work group size                             256
  Preferred work group size (AMD)                 256
  Max work group size (AMD)                       1024
  Preferred work group size multiple (kernel)     64
  Wavefront width (AMD)                           64
  Preferred / native vector sizes                 
    char                                                 4 / 4       
    short                                                2 / 2       
    int                                                  1 / 1       
    long                                                 1 / 1       
    half                                                 1 / 1        (cl_khr_fp16)
    float                                                1 / 1       
    double                                               1 / 1        (cl_khr_fp64)
  Half-precision Floating-point support           (cl_khr_fp16)
    Denormals                                     No
    Infinity and NANs                             No
    Round to nearest                              No
    Round to zero                                 No
    Round to infinity                             No
    IEEE754-2008 fused multiply-add               No
    Support is emulated in software               No
  Single-precision Floating-point support         (core)
    Denormals                                     No
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  Yes
  Double-precision Floating-point support         (cl_khr_fp64)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
  Address bits                                    64, Little-Endian
  Global memory size                              8589934592 (8GiB)
  Global free memory (AMD)                        8321000 (7.936GiB) 0 (0B)
  Global memory channels (AMD)                    8
  Global memory banks per channel (AMD)           4
  Global memory bank width (AMD)                  256 bytes
  Error Correction support                        No
  Max memory allocation                           7301444403 (6.8GiB)
  Unified memory for Host and Device              No
  Shared Virtual Memory (SVM) capabilities        (core)
    Coarse-grained buffer sharing                 Yes
    Fine-grained buffer sharing                   Yes
    Fine-grained system sharing                   No
    Atomics                                       No
  Minimum alignment for any data type             128 bytes
  Alignment of base address                       2048 bits (256 bytes)
  Preferred alignment for atomics                 
    SVM                                           0 bytes
    Global                                        0 bytes
    Local                                         0 bytes
  Max size for global variable                    6571299840 (6.12GiB)
  Preferred total size of global vars             8589934592 (8GiB)
  Global Memory cache type                        Read/Write
  Global Memory cache size                        16384 (16KiB)
  Global Memory cache line size                   64 bytes
  ***Image support                                   Yes***
    Max number of samplers per kernel             16
    Max size for 1D images from buffer            456340275 pixels
    Max 1D or 2D image array size                 2048 images
    Base address alignment for 2D image buffers   256 bytes
    Pitch alignment for 2D image buffers          256 pixels
    Max 2D image size                             16384x16384 pixels
    Max 3D image size                             2048x2048x2048 pixels
    Max number of read image args                 128
    Max number of write image args                64
    Max number of read/write image args           64
  Max number of pipe args                         16
  Max active pipe reservations                    16
  Max pipe packet size                            3006477107 (2.8GiB)
  Local memory type                               Local
  Local memory size                               65536 (64KiB)
  Local memory size per CU (AMD)                  65536 (64KiB)
  Local memory banks (AMD)                        32
  Max number of constant args                     8
  Max constant buffer size                        7301444403 (6.8GiB)
  Preferred constant buffer size (AMD)            16384 (16KiB)
  Max size of kernel argument                     1024
  Queue properties (on host)                      
    Out-of-order execution                        No
    Profiling                                     Yes
  Queue properties (on device)                    
    Out-of-order execution                        Yes
    Profiling                                     Yes
    Preferred size                                262144 (256KiB)
    Max size                                      8388608 (8MiB)
  Max queues on device                            1
  Max events on device                            1024
  Prefer user sync for interop                    Yes
  Number of P2P devices (AMD)                     0
  Profiling timer resolution                      1ns
  Profiling timer offset since Epoch (AMD)        1663158834042297879ns (Wed Sep 14 08:33:54 2022)
  Execution capabilities                          
    Run OpenCL kernels                            Yes
    Run native kernels                            No
    Thread trace supported (AMD)                  Yes
    Number of async queues (AMD)                  4
    Max real-time compute queues (AMD)            1
    Max real-time compute units (AMD)             0
  printf() buffer size                            4194304 (4MiB)
  Built-in kernels                                (n/a)
  Device Extensions                               cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_khr_gl_depth_images cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer cl_khr_subgroups cl_khr_gl_event cl_khr_depth_images cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_amd_copy_buffer_p2p 

NULL platform behavior
  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  AMD Accelerated Parallel Processing
  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [AMD]
  clCreateContext(NULL, ...) [default]            Success [AMD]
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT)  Success (1)
    Platform Name                                 AMD Accelerated Parallel Processing
    Device Name                                   Ellesmere
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  Success (1)
    Platform Name                                 AMD Accelerated Parallel Processing
    Device Name                                   Ellesmere
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  Success (1)
    Platform Name                                 AMD Accelerated Parallel Processing
    Device Name                                   Ellesmere

ICD loader properties
  ICD loader Name                                 OpenCL ICD Loader
  ICD loader Vendor                               OCL Icd free software
  ICD loader Version                              2.3.1
  ICD loader Profile                              OpenCL 3.0

e[37mROCk module is loadede[0m
=====================    
HSA System Attributes    
=====================    
Runtime Version:         1.1
System Timestamp Freq.:  1000.000000MHz
Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
Machine Model:           LARGE                              
System Endianness:       LITTLE                             

==========               
HSA Agents               
==========               
*******                  
Agent 1                  
*******                  
  Name:                    AMD Ryzen 5 4500 6-Core Processor  
  Uuid:                    CPU-XX                             
  Marketing Name:          AMD Ryzen 5 4500 6-Core Processor  
  Vendor Name:             CPU                                
  Feature:                 None specified                     
  Profile:                 FULL_PROFILE                       
  Float Round Mode:        NEAR                               
  Max Queue Number:        0(0x0)                             
  Queue Min Size:          0(0x0)                             
  Queue Max Size:          0(0x0)                             
  Queue Type:              MULTI                              
  Node:                    0                                  
  Device Type:             CPU                                
  Cache Info:              
    L1:                      32768(0x8000) KB                   
  Chip ID:                 0(0x0)                             
  Cacheline Size:          64(0x40)                           
  Max Clock Freq. (MHz):   0                                  
  BDFID:                   0                                  
  Internal Node ID:        0                                  
  Compute Unit:            12                                 
  SIMDs per CU:            0                                  
  Shader Engines:          0                                  
  Shader Arrs. per Eng.:   0                                  
  WatchPts on Addr. Ranges:1                                  
  Features:                None
  Pool Info:               
    Pool 1                   
      Segment:                 GLOBAL; FLAGS: FINE GRAINED        
      Size:                    32732472(0x1f37538) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
    Pool 2                   
      Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
      Size:                    32732472(0x1f37538) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
    Pool 3                   
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
      Size:                    32732472(0x1f37538) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
  ISA Info:                
*******                  
Agent 2                  
*******                  
  ***Name:                    gfx803                             ***
***  Uuid:                    GPU-XX                             ***
***  Marketing Name:          AMD Radeon RX 590 Series           ***
***  Vendor Name:             AMD***                                
  Feature:                 KERNEL_DISPATCH                    
  Profile:                 BASE_PROFILE                       
  Float Round Mode:        NEAR                               
  Max Queue Number:        128(0x80)                          
  Queue Min Size:          4096(0x1000)                       
  Queue Max Size:          131072(0x20000)                    
  Queue Type:              MULTI                              
  Node:                    1                                  
  Device Type:             GPU                                
  Cache Info:              
    L1:                      16(0x10) KB                        
  Chip ID:                 26591(0x67df)                      
  Cacheline Size:          64(0x40)                           
  Max Clock Freq. (MHz):   1545                               
  BDFID:                   256                                
  Internal Node ID:        1                                  
  Compute Unit:            36                                 
  SIMDs per CU:            4                                  
  Shader Engines:          4                                  
  Shader Arrs. per Eng.:   1                                  
  WatchPts on Addr. Ranges:4                                  
  Features:                KERNEL_DISPATCH 
  Fast F16 Operation:      TRUE                               
  Wavefront Size:          64(0x40)                           
  Workgroup Max Size:      1024(0x400)                        
  Workgroup Max Size per Dimension:
    x                        1024(0x400)                        
    y                        1024(0x400)                        
    z                        1024(0x400)                        
  Max Waves Per CU:        40(0x28)                           
  Max Work-item Per CU:    2560(0xa00)                        
  Grid Max Size:           4294967295(0xffffffff)             
  Grid Max Size per Dimension:
    x                        4294967295(0xffffffff)             
    y                        4294967295(0xffffffff)             
    z                        4294967295(0xffffffff)             
  Max fbarriers/Workgrp:   32                                 
  Pool Info:               
    Pool 1                   
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
      Size:                    8388608(0x800000) KB               
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       FALSE                              
    Pool 2                   
      Segment:                 GROUP                              
      Size:                    64(0x40) KB                        
      Allocatable:             FALSE                              
      Alloc Granule:           0KB                                
      Alloc Alignment:         0KB                                
      Accessible by all:       FALSE                              
  ISA Info:                
    ISA 1                    
      Name:                    amdgcn-amd-amdhsa--gfx803          
      Machine Models:          HSA_MACHINE_MODEL_LARGE            
      Profiles:                HSA_PROFILE_BASE                   
      Default Rounding Mode:   NEAR                               
      Default Rounding Mode:   NEAR                               
      Fast f16:                TRUE                               
      Workgroup Max Size:      1024(0x400)                        
      Workgroup Max Size per Dimension:
        x                        1024(0x400)                        
        y                        1024(0x400)                        
        z                        1024(0x400)                        
      Grid Max Size:           4294967295(0xffffffff)             
      Grid Max Size per Dimension:
        x                        4294967295(0xffffffff)             
        y                        4294967295(0xffffffff)             
        z                        4294967295(0xffffffff)             
      FBarrier Max Size:       32                                 
*** Done ***             

I forgot to put the CKPT model on the correct place but still I get error:

Loading model from models/ldm/stable-diffusion-v1/model.ckpt
Traceback (most recent call last):
File "/home/binarydepth/github/stable-diffusion/scripts/txt2img.py", line 345, in <module>
main()
File "/home/binarydepth/github/stable-diffusion/scripts/txt2img.py", line 241, in main
model = load_model_from_config(config, f"{opt.ckpt}")
File "/home/binarydepth/github/stable-diffusion/scripts/txt2img.py", line 51, in load_model_from_config
pl_sd = torch.load(ckpt, map_location="cpu")
File "/home/binarydepth/.local/lib/python3.9/site-packages/torch/serialization.py", line 713, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/binarydepth/.local/lib/python3.9/site-packages/torch/serialization.py", line 920, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

Trying again without Arch4Edu repos and compiling ROCm form source. Some guidance into compiling ROCm for OpenCl would be greatly appreciated. I think I made the right choices so far, compiling now.

1 Like

The main problem to start rn seems to be that opencl-amd from Chaotic is taking precedence and some errors about it having /opt ownership s ROCm doesn't install from Arch4Edu

UPDATE: Arch4 Edu compiled against FMT8 and when I try to downgrade and it's dependencies looks like hell, so I will compile by disabling Chaotic AUR and use Arch Wiki for ROCm

sudo downgrade fmt
:: Retrieving packages...
fmt-8.1.1-2-x86_64                    441.9 KiB   387 KiB/s 00:01 [------------------------------------] 100%
loading packages...
warning: downgrading package fmt (9.1.0-1 => 8.1.1-2)
resolving dependencies...
looking for conflicting packages...
error: failed to prepare transaction (could not satisfy dependencies)
:: installing fmt (8.1.1-2) breaks dependency 'libfmt.so=9-64' required by easyeffects
:: installing fmt (8.1.1-2) breaks dependency 'libfmt.so=9-64' required by spdlog

Have you tried to search the web yet?

1 Like

Sorry, I started over on a fresh install (this is not related to building)

I did : yay -S rocm-opencl-runtime lib32-opencl-legacy-amdgpu-pro opencl-headers

then baceuse the next packges failed I did : yay -Syy python-pytorch-rocm python-torchvision-rocm

Chaotic disabled and Arch wiki showed the first packages and this guide showed the second packages

Building now... If it doesn't work I think people are working on it

EDIT: the guide is not working on Garuda because we are already using FMT 9 and Arhc4Edu is using FMT 8 as far as I can tell

I have installed: rocm-opencl-runtime opencl-headers rocm-opencl-sdk python-onnxruntime python-numpy yq

And then installed via PIP all the missing things but still it goes into CPU which is progress since it is no longer asking for an NVidia GPU.

This package fails to install: python-pytorch-rocm

CMake Error at CMakeLists.txt:47 (project):
The CMAKE_CXX_COMPILER:

hipcc

is not a full path and was not found in the PATH.

Tell CMake where to find the compiler by setting either the environment
variable "CXX" or the CMake cache entry CMAKE_CXX_COMPILER to the full path
to the compiler, or to the compiler name if it is in the PATH.


-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Configuring incomplete, errors occurred!
See also "/home/binarydepth/.cache/yay/rocfft/src/build/CMakeFiles/CMakeOutput.log".
See also "/home/binarydepth/.cache/yay/rocfft/src/build/CMakeFiles/CMakeError.log".
==> ERROR: A failure occurred in build().
Aborting...
-> error making: rocfft

Using this Python script, this is the line I wonder if I can change to ROCm : pipe = StableDiffusionOnnxPipeline.from_pretrained("./stable_diffusion_onnx", provider="DmlExecutionProvider") "DmlExecutionProvider" must use ROCM

from diffusers import StableDiffusionOnnxPipeline
import numpy as np

def get_latents_from_seed(seed: int, width: int, height:int) -> np.ndarray:
    # 1 is batch size
    latents_shape = (1, 4, height // 8, width // 8)
    # Gotta use numpy instead of torch, because torch's randn() doesn't support DML
    rng = np.random.default_rng(seed)
    image_latents = rng.standard_normal(latents_shape).astype(np.float32)
    return image_latents

pipe = StableDiffusionOnnxPipeline.from_pretrained("./stable_diffusion_onnx", provider="DmlExecutionProvider")
"""
prompt: Union[str, List[str]],
height: Optional[int] = 512,
width: Optional[int] = 512,
num_inference_steps: Optional[int] = 50,
guidance_scale: Optional[float] = 7.5, # This is also sometimes called the CFG value
eta: Optional[float] = 0.0,
latents: Optional[np.ndarray] = None,
output_type: Optional[str] = "pil",
"""

seed = 50033
# Generate our own latents so that we can provide a seed.
latents = get_latents_from_seed(seed, 512, 512)
prompt = "A happy celebrating robot on a mountaintop, happy, landscape, dramatic lighting, art by artgerm greg rutkowski alphonse mucha, 4k uhd"
image = pipe(prompt, num_inference_steps=25, guidance_scale=13, latents=latents).images[0]
image.save("output.png")

converted to Onnx via this:

python convert_stable_diffusion_checkpoint_to_onnx.py --model_path="CompVis/stable-diffusion-v1-4" --output_path="./stable_diffusion_onnx"

But maybe I can run with original model since I think ROCm runs CUDA on an AMD GPU? When I do torch.cuda.is_available() it return False

ROCm

>>> x = torch.rand(5, 3)
>>> print(x)
tensor([[0.5442, 0.9724, 0.5785],
[0.6219, 0.4592, 0.1975],
[0.1429, 0.6561, 0.6683],
[0.6336, 0.4614, 0.9983],
[0.2905, 0.3399, 0.7260]])
>>> torch.cuda.is_available()
False
python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
[2022-09-26 06:34:24] /home/binarydepth/github/stable-diffusion-main/scripts/txt2img.py  -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   eprint(line:60) :: Error when calling Cognitive Face API:
status_code: 401
code: 401
message: Access denied due to invalid subscription key or wrong API endpoint. Make sure to provide a valid key for an active subscription and use a correct regional API endpoint for your resource.

[2022-09-26 06:34:24] /home/binarydepth/github/stable-diffusion-main/scripts/txt2img.py  -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   eprint(line:60) :: img_url:https://raw.githubusercontent.com/Microsoft/Cognitive-Face-Windows/master/Data/detection1.jpg
[2022-09-26 06:34:25] /home/binarydepth/github/stable-diffusion-main/scripts/txt2img.py  -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   eprint(line:60) :: Error when calling Cognitive Face API:
status_code: 401
code: 401
message: Access denied due to invalid subscription key or wrong API endpoint. Make sure to provide a valid key for an active subscription and use a correct regional API endpoint for your resource.

[2022-09-26 06:34:25] /home/binarydepth/github/stable-diffusion-main/scripts/txt2img.py  -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   -   eprint(line:60) :: img_url:/data1/mingmingzhao/label/data_sets_teacher_1w/47017613_1510574400_out-video-jzc70f41fa6f7145b4b66738f81f082b65_f_1510574403268_t_1510575931221.flv_0001.jpg
[]
Traceback (most recent call last):
File "/home/binarydepth/github/stable-diffusion-main/scripts/txt2img.py", line 17, in <module>
from ldm.util import instantiate_from_config
ModuleNotFoundError: No module named 'ldm.util'; 'ldm' is not a package