diff --git a/solvers/diffpir.py b/solvers/diffpir.py
new file mode 100644
index 0000000..95ca08b
--- /dev/null
+++ b/solvers/diffpir.py
@@ -0,0 +1,38 @@
+from benchopt import BaseSolver, safe_import_context
+
+with safe_import_context() as import_ctx:
+    import torch
+    from torch.utils.data import DataLoader
+    import deepinv as dinv
+
+
+class Solver(BaseSolver):
+    name = 'DiffPIR'
+
+    parameters = {}
+
+    sampling_strategy = 'run_once'
+
+    requirements = []
+
+    def set_objective(self, train_dataset, physics):
+        batch_size = 2
+        self.train_dataloader = DataLoader(
+            train_dataset, batch_size=batch_size, shuffle=False
+        )
+        self.device = (
+            dinv.utils.get_freer_gpu() if torch.cuda.is_available() else "cpu"
+        )
+        self.physics = physics
+
+    def run(self, n_iter):
+        denoiser = dinv.models.DRUNet(pretrained="download").to(self.device)
+
+        self.model = dinv.sampling.DiffPIR(
+            model=denoiser,
+            data_fidelity=dinv.optim.data_fidelity.L2()
+        )
+        self.model.eval()
+
+    def get_result(self):
+        return dict(model=self.model, model_name="DiffPIR", device=self.device)