Add Hugging Face support and enhance model resolution logic

- Introduced support for Hugging Face API integration, allowing fallback model resolution when Civitai fails.
- Updated configuration to include `HF_TOKEN` and `HF_TOKEN_PATH` for authentication.
- Enhanced model capture logic to differentiate between Civitai and Hugging Face sources.
- Improved error handling for model downloads, providing clearer messages for authentication issues.
- Updated documentation to reflect new environment variables and usage instructions for Hugging Face integration.
- Added tests to validate the new fallback mechanism and ensure robust model resolution.

tests/test_capture_merge.py

@@ -79,6 +79,9 @@ def test_resolve_by_hash_404_is_unknown():
     with patch(
         "gpu_rent.capture.fetch_model_version_by_hash",
         side_effect=CloudError("Civitai by-hash abc: HTTP 404 (хосты civitai.red)"),
+    ), patch(
+        "gpu_rent.capture.lookup_by_sha256",
+        return_value=None,
     ):
         out = resolve_model_item(
             {
@@ -95,6 +98,40 @@ def test_resolve_by_hash_404_is_unknown():
     assert out.item is None
 
 
+def test_resolve_by_hash_404_hf_fallback():
+    from gpu_rent.huggingface import HfFileHit
+
+    with patch(
+        "gpu_rent.capture.fetch_model_version_by_hash",
+        side_effect=CloudError("Civitai by-hash abc: HTTP 404 (хосты civitai.red)"),
+    ), patch(
+        "gpu_rent.capture.lookup_by_sha256",
+        return_value=HfFileHit(
+            repo_id="org/model",
+            filename="m.safetensors",
+            url="https://huggingface.co/org/model/resolve/main/m.safetensors",
+            sha256="a" * 64,
+            title="org/model",
+        ),
+    ):
+        out = resolve_model_item(
+            {
+                "kind": "lora",
+                "rel": "Lora/m.safetensors",
+                "name": "m.safetensors",
+                "sha256": "a" * 64,
+            },
+            token="",
+            api_host="civitai.red",
+            link_host="civitai.red",
+            hf_token="hf_x",
+        )
+    assert out.status == "ok"
+    assert out.item is not None
+    assert out.item.source == "huggingface"
+    assert "huggingface.co" in out.item.url
+
+
 def test_resolve_by_hash_network_is_api_error():
     with patch(
         "gpu_rent.capture.fetch_model_version_by_hash",
@@ -125,17 +162,25 @@ def test_merge_models_dedupe(tmp_path: Path):
     )
     items = [
         ModelCaptureItem(
-            "lora", 100, 1, "https://civitai.red/models/1?modelVersionId=100", "old"
+            kind="lora",
+            version_id=100,
+            model_id=1,
+            url="https://civitai.red/models/1?modelVersionId=100",
+            title="old",
         ),
         ModelCaptureItem(
-            "lora", 200, 2, "https://civitai.red/models/2?modelVersionId=200", "new"
+            kind="lora",
+            version_id=200,
+            model_id=2,
+            url="https://civitai.red/models/2?modelVersionId=200",
+            title="new",
         ),
         ModelCaptureItem(
-            "checkpoint",
-            300,
-            3,
-            "https://civitai.red/models/3?modelVersionId=300",
-            "ckpt",
+            kind="checkpoint",
+            version_id=300,
+            model_id=3,
+            url="https://civitai.red/models/3?modelVersionId=300",
+            title="ckpt",
         ),
     ]
     added, skipped = merge_models_yaml(path, items, dry_run=False)
@@ -153,7 +198,11 @@ def test_merge_models_dry_run(tmp_path: Path):
     before = path.read_text(encoding="utf-8")
     items = [
         ModelCaptureItem(
-            "lora", 1, 1, "https://civitai.red/models/1?modelVersionId=1", "x"
+            kind="lora",
+            version_id=1,
+            model_id=1,
+            url="https://civitai.red/models/1?modelVersionId=1",
+            title="x",
         ),
     ]
     added, _ = merge_models_yaml(path, items, dry_run=True)
@@ -170,11 +219,11 @@ def test_merge_models_kind_scoped_dedupe(tmp_path: Path):
     )
     items = [
         ModelCaptureItem(
-            "checkpoint",
-            100,
-            1,
-            "https://civitai.red/models/1?modelVersionId=100",
-            "as-ckpt",
+            kind="checkpoint",
+            version_id=100,
+            model_id=1,
+            url="https://civitai.red/models/1?modelVersionId=100",
+            title="as-ckpt",
         ),
     ]
     added, skipped = merge_models_yaml(path, items, dry_run=False)