chore: rename Stirling-Image to ashim across entire codebase

Complete rebrand from Stirling-Image to ashim following the project
move to https://github.com/ashim-hq/ashim.

Changes across 117 files:
- Package scope: @stirling-image/* → @ashim/*
- GitHub URLs: stirling-image/stirling-image → ashim-hq/ashim
- Docker Hub: stirlingimage/stirling-image → ashimhq/ashim
- GitHub Pages: stirling-image.github.io → ashim-hq.github.io
- All branding text: "Stirling Image" → "ashim"
- Docker service/volumes/user: stirling → ashim
- Database: stirling.db → ashim.db
- localStorage keys: stirling-token → ashim-token
- Environment variables: STIRLING_GPU → ASHIM_GPU
- Python cache dirs: .cache/stirling-image → .cache/ashim
- SVG filter IDs, test prefixes, and all other references

packages/ai/python/enhance_faces.py

@@ -176,7 +176,7 @@ def enhance_with_codeformer(img_array, fidelity_weight):
 
     # CodeFormer selects its device during module-level init and inside
     # inference_app(). It has no device= parameter, so to respect
-    # STIRLING_GPU=false we temporarily override torch.cuda.is_available
+    # ASHIM_GPU=false we temporarily override torch.cuda.is_available
     # so all internal device checks see False. When use_gpu is True
     # (the common path) no override happens.
     _orig_cuda_check = torch.cuda.is_available

packages/ai/python/gpu.py

@@ -7,7 +7,7 @@ import os
 def gpu_available():
     """Return True if a usable CUDA GPU is present at runtime."""
     # Allow explicit disable via env var (set to "false" or "0")
-    override = os.environ.get("STIRLING_GPU")
+    override = os.environ.get("ASHIM_GPU")
     if override is not None and override.lower() in ("0", "false", "no"):
         return False
 

packages/ai/python/inpaint.py

@@ -14,7 +14,7 @@ def emit_progress(percent, stage):
 # For local dev, check a user-writable cache dir.
 LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", "/opt/models/lama")
 LAMA_MODEL_PATH = os.path.join(LAMA_MODEL_DIR, "lama_fp32.onnx")
-LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "stirling-image", "lama")
+LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "lama")
 LAMA_LOCAL_PATH = os.path.join(LAMA_LOCAL_CACHE, "lama_fp32.onnx")
 LAMA_HF_URL = "https://huggingface.co/Carve/LaMa-ONNX/resolve/main/lama_fp32.onnx"
 

packages/ai/python/noise_removal.py

@@ -21,7 +21,7 @@ NAFNET_MODEL_PATH = os.environ.get(
 )
 
 # Local cache for dev installs
-_CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "stirling-image", "models")
+_CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "models")
 
 # GitHub release URLs for auto-download
 SCUNET_URL = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth"

packages/ai/python/restore.py

@@ -24,13 +24,13 @@ def emit_progress(percent, stage):
 
 LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", "/opt/models/lama")
 LAMA_MODEL_PATH = os.path.join(LAMA_MODEL_DIR, "lama_fp32.onnx")
-LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "stirling-image", "lama")
+LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "lama")
 LAMA_LOCAL_PATH = os.path.join(LAMA_LOCAL_CACHE, "lama_fp32.onnx")
 
 CODEFORMER_MODEL_DIR = os.environ.get("CODEFORMER_MODEL_DIR", "/opt/models/codeformer")
 CODEFORMER_MODEL_PATH = os.path.join(CODEFORMER_MODEL_DIR, "codeformer.onnx")
 CODEFORMER_LOCAL_CACHE = os.path.join(
-    os.path.expanduser("~"), ".cache", "stirling-image", "codeformer"
+    os.path.expanduser("~"), ".cache", "ashim", "codeformer"
 )
 CODEFORMER_LOCAL_PATH = os.path.join(CODEFORMER_LOCAL_CACHE, "codeformer.onnx")