Add library_name to metadata

README.md

@@ -1,10 +1,11 @@
 ---
-license: apache-2.0
-language:
-- en
 base_model:
 - black-forest-labs/FLUX.2-klein-9B
+language:
+- en
+license: apache-2.0
 pipeline_tag: text-to-image
+library_name: diffusers
 ---
 
 <div align="center">
@@ -79,8 +80,11 @@ rewards.
 For the generator $G_\theta$, the reward-tilted KL objective decomposes as
 
 $$
-\nabla_\theta D_{\text{KL}}(p_\theta \| \tilde{p}_\psi) =
-\underbrace{\nabla_\theta D_{\text{KL}}(p_\theta \| p_\psi)}_{\text{distribution matching}} - \beta\underbrace{\nabla_\theta \mathbb{E}_{\hat{\mathbf{x}}_0 \sim p_\theta}[r(\hat{\mathbf{x}}_0)]}_{\text{reward maximization}}.
+
+abla_\theta D_{\text{KL}}(p_\theta \| \tilde{p}_\psi) =
+\underbrace{
+abla_\theta D_{\text{KL}}(p_\theta \| p_\psi)}_{\text{distribution matching}} - \beta\underbrace{
+abla_\theta \mathbb{E}_{\hat{\mathbf{x}}_0 \sim p_\theta}[r(\hat{\mathbf{x}}_0)]}_{\text{reward maximization}}.
 $$
 
 The two terms map directly to the two trainers exposed by the CLI:
@@ -191,4 +195,4 @@ pipe(prompt="a cute cat sitting on a windowsill",
 Apache 2.0 — same as the upstream
 [RTDMD](https://github.com/Harahan/RTDMD) repo. The base model
 [`black-forest-labs/FLUX.2-klein-9B`](https://huggingface.co/black-forest-labs/FLUX.2-klein-9B)
-is governed by its own license; please review and comply with it separately.
+is governed by its own license; please review and comply with it separately.