Load weights from MiniMaxAI/MiniMax-Music3

Merge once MiniMaxAI/MiniMax-Music3 PR #2 (diffusers weights) is merged.

README.md

@@ -7,6 +7,8 @@ sdk: gradio
 sdk_version: "6.16.0"
 app_file: app.py
 pinned: false
+models:
+  - MiniMaxAI/MiniMax-Music3
 suggested_hardware: zero-a10g
 ---
 
@@ -17,7 +19,7 @@ The input surface is a single Suno-inspired custom `gr.HTML` composer (Simple
 chips, structured-caption fields per the official prompting guide) that drives Gradio events via
 `trigger()`/`props.value`; styling uses only theme CSS vars so it follows the Citrus theme natively.
 
-- Weights: `diffusers-internal-dev/MiniMax-Music3-Diffusers` (private)
+- Weights: `MiniMaxAI/MiniMax-Music3`
 - AoTI kernels: `diffusers-internal-dev/MiniMax-Music3-aoti` (compiled on RTX Pro 6000, matching ZeroGPU hardware)
 - Generation streams chunk by chunk with a configurable playback headroom. The 8B language-model stage runs eager
   on ZeroGPU (its JIT StaticCache ladder needs a persistent process); AoTI-exporting the LM decode step per cache

app.py

@@ -14,7 +14,7 @@ from huggingface_hub import snapshot_download
 from diffusers import ModularPipeline
 from diffusers.models.modeling_outputs import Transformer2DModelOutput
 
-PIPE = ModularPipeline.from_pretrained("diffusers-internal-dev/MiniMax-Music3-Diffusers")
+PIPE = ModularPipeline.from_pretrained("MiniMaxAI/MiniMax-Music3")
 PIPE.load_components(dtype=torch.bfloat16)
 PIPE.to("cuda")