feat(app): add flux kontext dev to starter modelss

Author: psychedelicious

invokeai/backend/model_manager/starter_models.py

@@ -109,37 +109,45 @@ class StarterModelBundle(BaseModel):
 
 # region: Main
 flux_schnell_quantized = StarterModel(
-    name="FLUX Schnell (Quantized)",
+    name="FLUX.1 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: ~12GB",
     type=ModelType.Main,
     dependencies=[t5_8b_quantized_encoder, flux_vae, clip_l_encoder],
 )
 flux_dev_quantized = StarterModel(
-    name="FLUX Dev (Quantized)",
+    name="FLUX.1 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: ~12GB",
     type=ModelType.Main,
     dependencies=[t5_8b_quantized_encoder, flux_vae, clip_l_encoder],
 )
 flux_schnell = StarterModel(
-    name="FLUX Schnell",
+    name="FLUX.1 schnell",
     base=BaseModelType.Flux,
     source="InvokeAI/flux_schnell::transformer/base/flux1-schnell.safetensors",
     description="FLUX schnell transformer in bfloat16. Total size with dependencies: ~33GB",
     type=ModelType.Main,
     dependencies=[t5_base_encoder, flux_vae, clip_l_encoder],
 )
 flux_dev = StarterModel(
-    name="FLUX Dev",
+    name="FLUX.1 dev",
     base=BaseModelType.Flux,
     source="InvokeAI/flux_dev::transformer/base/flux1-dev.safetensors",
     description="FLUX dev transformer in bfloat16. Total size with dependencies: ~33GB",
     type=ModelType.Main,
     dependencies=[t5_base_encoder, flux_vae, clip_l_encoder],
 )
+flux_kontext = StarterModel(
+    name="FLUX.1 Kontext dev",
+    base=BaseModelType.Flux,
+    source="black-forest-labs/FLUX.1-Kontext-dev::flux1-kontext-dev.safetensors",
+    description="FLUX.1 Kontext dev transformer in bfloat16. Total size with dependencies: ~33GB",
+    type=ModelType.Main,
+    dependencies=[t5_base_encoder, flux_vae, clip_l_encoder],
+)
 sd35_medium = StarterModel(
     name="SD3.5 Medium",
     base=BaseModelType.StableDiffusion3,
@@ -656,6 +664,7 @@ class StarterModelBundle(BaseModel):
 # List of starter models, displayed on the frontend.
 # The order/sort of this list is not changed by the frontend - set it how you want it here.
 STARTER_MODELS: list[StarterModel] = [
+    flux_kontext,
     flux_schnell_quantized,
     flux_dev_quantized,
     flux_schnell,
@@ -776,6 +785,7 @@ class StarterModelBundle(BaseModel):
     flux_depth_control_lora,
     flux_redux,
     flux_fill,
+    flux_kontext,
 ]
 
 STARTER_BUNDLES: dict[str, StarterModelBundle] = {