Don't pass adm to model when it doesn't support it.

comfy/samplers.py

@@ -36,8 +36,8 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
                 strength = cond[1]['strength']
 
             adm_cond = None
-            if 'adm' in cond[1]:
-                adm_cond = cond[1]['adm']
+            if 'adm_encoded' in cond[1]:
+                adm_cond = cond[1]['adm_encoded']
 
             input_x = x_in[:,:,area[2]:area[0] + area[2],area[3]:area[1] + area[3]]
             mult = torch.ones_like(input_x) * strength
@@ -405,7 +405,7 @@ def encode_adm(noise_augmentor, conds, batch_size, device):
         else:
             adm_out = torch.zeros((1, noise_augmentor.time_embed.dim * 2), device=device)
         x[1] = x[1].copy()
-        x[1]["adm"] = torch.cat([adm_out] * batch_size)
+        x[1]["adm_encoded"] = torch.cat([adm_out] * batch_size)
 
     return conds