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README.md

@@ -8,7 +8,7 @@ tags:
   - pytorch
   - fcdm
   - semantic-alignment
-library_name: capacitor_diffae
+library_name: fcdm_diffae
 ---
 
 # data-archetype/semdisdiffae
@@ -67,9 +67,9 @@ encoder or decoder, enabling efficient inference at any resolution.
 ## Quick Start
 
 ```python
-from capacitor_diffae import CapacitorDiffAE, CapacitorDiffAEInferenceConfig
+from fcdm_diffae import FCDMDiffAE, FCDMDiffAEInferenceConfig
 
-model = CapacitorDiffAE.from_pretrained("data-archetype/semdisdiffae", device="cuda")
+model = FCDMDiffAE.from_pretrained("data-archetype/semdisdiffae", device="cuda")
 
 # Encode (returns posterior mode by default)
 latents = model.encode(images)  # [B,3,H,W] in [-1,1] -> [B,128,H/16,W/16]
@@ -78,7 +78,7 @@ latents = model.encode(images)  # [B,3,H,W] in [-1,1] -> [B,128,H/16,W/16]
 recon = model.decode(latents, height=H, width=W)
 
 # Decode — perceptual sharpening (10 steps + PDG)
-cfg = CapacitorDiffAEInferenceConfig(num_steps=10, pdg=True, pdg_strength=2.0)
+cfg = FCDMDiffAEInferenceConfig(num_steps=10, pdg=True, pdg_strength=2.0)
 recon = model.decode(latents, height=H, width=W, inference_config=cfg)
 
 # Full posterior access