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vladmandic · Mar 1, 2024 · d182cd5 · d182cd5
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,13 +1,60 @@
 # Change Log for SD.Next
 
-## Update for 2024-02-24
-
+## TODO
+
+- EDM samplers for Playground require `diffusers==0.27.0`
+- StableCascade requires diffusers `kashif/diffusers.git@wuerstchen-v3`
+
+## Update for 2024-03-01
+
+- [Playground v2.5](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)
+  - new model version from Playground: based on SDXL, but with some cool new concepts
+  - download using networks -> reference
+  - set sampler to *DPM++ 2M EDM* or *Euler EDM*
+- [KOALA 700M](https://github.com/youngwanLEE/sdxl-koala)
+  - another very fast & light sd-xl model where original unet was compressed and distilled to 54% of original size  
+  - download using networks -> reference
+  - *note* to download fp16 variant (recommended), set settings -> diffusers -> preferred model variant  
+- **Image2Video**
+  - new module for creating videos from images  
+  - simply enable from *img2img -> scripts -> image2video*  
+  - based on [VGen](https://huggingface.co/ali-vilab/i2vgen-xl)  
+- **VQA** visual question & answer in interrogate  
+  - with support for multiple variations of base models: *GIT, BLIP, ViLT, PIX*
+- **Second Pass / Refine**
+  - independent upscale and hires options: run hires without upscale or upscale without hires or both
+  - upscale can now run 0.1-8.0 scale and will also run if enabled at 1.0 to allow for upscalers that simply improve image quality
+  - update ui section to reflect changes
+  - *note*: behavior using backend:original is unchanged for backwards compatibilty
+- **Samplers**
+  - [TCD](https://mhh0318.github.io/tcd/): Trajectory Consistency Distillation  
+    new sampler that produces consistent results in a very low number of steps (comparable to LCM but without reliance on LoRA)  
+    for best results, use with TCD LoRA: <https://huggingface.co/h1t/TCD-SDXL-LoRA>
+  - *DPM++ 2M EDM* and *Euler EDM*  
+    EDM is a new solver algorithm currently available for DPM++2M and Euler samplers  
+    Note that using EDM samplers with non-EDM optimized models will provide just noise and vice-versa  
 - **Improvements**
-  - default theme updates
-  - additional built-in theme *black-gray*
+  - **FaceID** extend support for LoRA, HyperTile and FreeU, thanks @Trojaner
+  - **Tiling** now extends to both Unet and VAE producing smoother outputs, thanks @AI-Casanova
+  - new setting in image options: *include mask in output*
+  - default theme updates and additional built-in theme *black-gray*
+  - add **ROCm** 6.0 nightly option to installer, thanks @jicka
+  - support models with their own YAML model config files
+  - support models with their own JSON per-component config files, for example: `playground-v2.5_vae.config`
+- **Internal**
+  - remove obsolete textual inversion training code
+  - remove obsolete hypernetworks training code
 - **Fixes**
+  - improve model cpu offload compatibility
+  - improve model sequential offload compatibility
+  - improve bfloat16 compatibility
   - fix extra networks refresh
-  - improve ZLUDA installer when using `--use-zluda` cli param, thanks @lshqqytiger
+  - fix sdp memory attention in backend original
+  - fix autodetect sd21 models
+  - fix api info endpoint
+  - fix sampler eta in xyz grid, thanks @AI-Casanova
+  - exception handler around vram memory stats gather
+  - improve ZLUDA installer with `--use-zluda` cli param, thanks @lshqqytiger
 
 ## Update for 2024-02-22
 

diff --git a/installer.py b/installer.py
@@ -482,13 +482,33 @@ def is_rocm_available():
             torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.2.0 torchvision --index-url https://download.pytorch.org/whl/cu118')
             log.warning("ZLUDA support: experimental")
             zluda_need_dll_patch = is_windows and not installed('torch')
+            zluda_path = find_zluda()
+            if zluda_path is None:
+                import urllib.request
+                if is_windows:
+                    import zipfile
+                    archive_type = zipfile.ZipFile
+                    zluda_url = 'https://github.com/lshqqytiger/ZLUDA/releases/download/v3.5-win/ZLUDA-windows-amd64.zip'
+                else:
+                    import tarfile
+                    archive_type = tarfile.TarFile
+                    zluda_url = 'https://github.com/vosen/ZLUDA/releases/download/v3/zluda-3-linux.tar.gz'
+                urllib.request.urlretrieve(zluda_url, '_zluda')
+                with archive_type('_zluda', 'r') as f:
+                    f.extractall('.zluda')
+                zluda_path = os.path.abspath('./.zluda')
+                os.remove('_zluda')
+            log.debug(f'Found ZLUDA in {zluda_path}')
+            paths = os.environ.get('PATH', '.')
+            if zluda_path not in paths:
+                os.environ['PATH'] = paths + ';' + zluda_path
         elif is_windows: # TODO TBD after ROCm for Windows is released
             log.warning("HIP SDK is detected, but no Torch release for Windows available")
             log.info("For ZLUDA support specify '--use-zluda'")
             log.info('Using CPU-only torch')
             torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
         else:
-            if rocm_ver in {"5.7"}:
+            if rocm_ver in {"5.7", "6.0"}:
                 torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --pre --index-url https://download.pytorch.org/whl/nightly/rocm{rocm_ver}')
             elif rocm_ver in {"5.5", "5.6"}:
                 torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm{rocm_ver}')
@@ -909,14 +929,19 @@ def get_onnxruntime_source_for_rocm(rocm_ver):
         return 'onnxruntime-gpu'
 
 
-def patch_zluda():
+def find_zluda():
     zluda_path = os.environ.get('ZLUDA', None)
     if zluda_path is None:
         paths = os.environ.get('PATH', '').split(';')
         for path in paths:
             if os.path.exists(os.path.join(path, 'zluda_redirect.dll')):
                 zluda_path = path
                 break
+    return zluda_path
+
+
+def patch_zluda():
+    zluda_path = find_zluda()
     if zluda_path is None:
         log.warning('Failed to automatically patch torch with ZLUDA. Could not find ZLUDA from PATH.')
         return
@@ -1028,8 +1053,6 @@ def check_timestamp():
 
 def add_args(parser):
     group = parser.add_argument_group('Setup options')
-    group.add_argument("--log", type=str, default=os.environ.get("SD_LOG", None), help="Set log file, default: %(default)s")
-    group.add_argument('--debug', default = os.environ.get("SD_DEBUG",False), action='store_true', help = "Run installer with debug logging, default: %(default)s")
     group.add_argument('--reset', default = os.environ.get("SD_RESET",False), action='store_true', help = "Reset main repository to latest version, default: %(default)s")
     group.add_argument('--upgrade', default = os.environ.get("SD_UPGRADE",False), action='store_true', help = "Upgrade main repository to latest version, default: %(default)s")
     group.add_argument('--requirements', default = os.environ.get("SD_REQUIREMENTS",False), action='store_true', help = "Force re-check of requirements, default: %(default)s")
@@ -1039,6 +1062,7 @@ def add_args(parser):
     group.add_argument("--use-ipex", default = os.environ.get("SD_USEIPEX",False), action='store_true', help="Force use Intel OneAPI XPU backend, default: %(default)s")
     group.add_argument("--use-cuda", default = os.environ.get("SD_USECUDA",False), action='store_true', help="Force use nVidia CUDA backend, default: %(default)s")
     group.add_argument("--use-rocm", default = os.environ.get("SD_USEROCM",False), action='store_true', help="Force use AMD ROCm backend, default: %(default)s")
+    group.add_argument('--use-zluda', default=os.environ.get("SD_USEZLUDA", False), action='store_true', help = "Force use ZLUDA, AMD GPUs only, default: %(default)s")
     group.add_argument("--use-xformers", default = os.environ.get("SD_USEXFORMERS",False), action='store_true', help="Force use xFormers cross-optimization, default: %(default)s")
     group.add_argument('--skip-requirements', default = os.environ.get("SD_SKIPREQUIREMENTS",False), action='store_true', help = "Skips checking and installing requirements, default: %(default)s")
     group.add_argument('--skip-extensions', default = os.environ.get("SD_SKIPEXTENSION",False), action='store_true', help = "Skips running individual extension installers, default: %(default)s")
@@ -1053,6 +1077,13 @@ def add_args(parser):
     group.add_argument('--ignore', default = os.environ.get("SD_IGNORE",False), action='store_true', help = "Ignore any errors and attempt to continue")
     group.add_argument('--safe', default = os.environ.get("SD_SAFE",False), action='store_true', help = "Run in safe mode with no user extensions")
 
+    group = parser.add_argument_group('Logging options')
+    group.add_argument("--log", type=str, default=os.environ.get("SD_LOG", None), help="Set log file, default: %(default)s")
+    group.add_argument('--debug', default = os.environ.get("SD_DEBUG",False), action='store_true', help = "Run installer with debug logging, default: %(default)s")
+    group.add_argument("--profile", default=os.environ.get("SD_PROFILE", False), action='store_true', help="Run profiler, default: %(default)s")
+    group.add_argument('--docs', default=os.environ.get("SD_DOCS", False), action='store_true', help = "Mount API docs, default: %(default)s")
+    group.add_argument("--api-log", default=os.environ.get("SD_APILOG", False), action='store_true', help="Enable logging of all API requests, default: %(default)s")
+
 
 def parse_args(parser):
     # command line args

diff --git a/wiki b/wiki