Update starter model size estimates.

Author: RyanJDick

invokeai/backend/model_manager/starter_models.py

@@ -94,15 +94,15 @@ class StarterModel(StarterModelWithoutDependencies):
         name="FLUX Schnell (Quantized)",
         base=BaseModelType.Flux,
         source="InvokeAI/flux_schnell::transformer/bnb_nf4/flux1-schnell-bnb_nf4.safetensors",
-        description="FLUX schnell transformer quantized to bitsandbytes NF4 format. Total size with dependencies: ~14GB",
+        description="FLUX schnell transformer quantized to bitsandbytes NF4 format. Total size with dependencies: ~12GB",
         type=ModelType.Main,
         dependencies=[t5_8b_quantized_encoder, flux_vae, clip_l_encoder],
     ),
     StarterModel(
         name="FLUX Dev (Quantized)",
         base=BaseModelType.Flux,
         source="InvokeAI/flux_dev::transformer/bnb_nf4/flux1-dev-bnb_nf4.safetensors",
-        description="FLUX dev transformer quantized to bitsandbytes NF4 format. Total size with dependencies: ~16GB",
+        description="FLUX dev transformer quantized to bitsandbytes NF4 format. Total size with dependencies: ~12GB",
         type=ModelType.Main,
         dependencies=[t5_8b_quantized_encoder, flux_vae, clip_l_encoder],
     ),
@@ -118,7 +118,7 @@ class StarterModel(StarterModelWithoutDependencies):
         name="FLUX Dev",
         base=BaseModelType.Flux,
         source="InvokeAI/flux_dev::transformer/base/flux1-dev.safetensors",
-        description="FLUX dev transformer in bfloat16. Total size with dependencies: ~34GB",
+        description="FLUX dev transformer in bfloat16. Total size with dependencies: ~33GB",
         type=ModelType.Main,
         dependencies=[t5_base_encoder, flux_vae, clip_l_encoder],
     ),