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feat(routes): integrate CivitAI model version retrieval for various model types

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Will Miao
2025-09-17 15:47:30 +08:00
parent 1cddeee264
commit 933e2fc01d
4 changed files with 126 additions and 201 deletions
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59
py/routes/embedding_routes.py
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@@ -35,12 +35,17 @@ class EmbeddingRoutes(BaseModelRoutes):
def setup_specific_routes(self, app: web.Application, prefix: str):
"""Setup Embedding-specific routes"""
# Embedding-specific CivitAI integration
app.router.add_get(f'/api/{prefix}/civitai/versions/{{model_id}}', self.get_civitai_versions_embedding)
# Embedding info by name
app.router.add_get(f'/api/{prefix}/info/{{name}}', self.get_embedding_info)
def _validate_civitai_model_type(self, model_type: str) -> bool:
"""Validate CivitAI model type for Embedding"""
return model_type.lower() in ['textualinversion', 'embedding']
def _get_expected_model_types(self) -> str:
"""Get expected model types string for error messages"""
return "TextualInversion/Embedding"
async def get_embedding_info(self, request: web.Request) -> web.Response:
"""Get detailed information for a specific embedding by name"""
try:
@@ -55,51 +60,3 @@ class EmbeddingRoutes(BaseModelRoutes):
except Exception as e:
logger.error(f"Error in get_embedding_info: {e}", exc_info=True)
return web.json_response({"error": str(e)}, status=500)
async def get_civitai_versions_embedding(self, request: web.Request) -> web.Response:
"""Get available versions for a Civitai embedding model with local availability info"""
try:
model_id = request.match_info['model_id']
metadata_provider = await get_default_metadata_provider()
response = await metadata_provider.get_model_versions(model_id)
if not response or not response.get('modelVersions'):
return web.Response(status=404, text="Model not found")
versions = response.get('modelVersions', [])
model_type = response.get('type', '')
# Check model type - should be TextualInversion (Embedding)
if model_type.lower() not in ['textualinversion', 'embedding']:
return web.json_response({
'error': f"Model type mismatch. Expected TextualInversion/Embedding, got {model_type}"
}, status=400)
# Check local availability for each version
for version in versions:
# Find the primary model file (type="Model" and primary=true) in the files list
model_file = next((file for file in version.get('files', [])
if file.get('type') == 'Model' and file.get('primary') == True), None)
# If no primary file found, try to find any model file
if not model_file:
model_file = next((file for file in version.get('files', [])
if file.get('type') == 'Model'), None)
if model_file:
sha256 = model_file.get('hashes', {}).get('SHA256')
if sha256:
# Set existsLocally and localPath at the version level
version['existsLocally'] = self.service.has_hash(sha256)
if version['existsLocally']:
version['localPath'] = self.service.get_path_by_hash(sha256)
# Also set the model file size at the version level for easier access
version['modelSizeKB'] = model_file.get('sizeKB')
else:
# No model file found in this version
version['existsLocally'] = False
return web.json_response(versions)
except Exception as e:
logger.error(f"Error fetching embedding model versions: {e}")
return web.Response(status=500, text=str(e))