Update README.md

README.md

@@ -122,6 +122,32 @@ potential fix: app.diffusion.pipeline.config.py
         return pipeline
 ```
 
+Log
+```
+>>> DEVICE: cuda
+>>> PIPELINE TYPE: <class 'diffusers.pipelines.flux.pipeline_flux.FluxPipeline'>
+>>> Moving transformer to cuda using to_empty()
+>>> WARNING: transformer.to_empty(cuda) failed: Module.to_empty() takes 1 positional argument but 2 were given
+>>> Falling back to transformer.to(cuda)
+>>> ERROR: transformer.to(cuda) also failed: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.
+>>> Moving vae to cuda using to_empty()
+>>> WARNING: vae.to_empty(cuda) failed: Module.to_empty() takes 1 positional argument but 2 were given
+>>> Falling back to vae.to(cuda)
+>>> Moving text_encoder to cuda using to_empty()
+>>> WARNING: text_encoder.to_empty(cuda) failed: Module.to_empty() takes 1 positional argument but 2 were given
+>>> Falling back to text_encoder.to(cuda)
+25-07-21 22:47:05 | I |   Replacing fused Linear with ConcatLinear.
+25-07-21 22:47:05 | I |     + Replacing fused Linear in single_transformer_blocks.0 with ConcatLinear.
+25-07-21 22:47:05 | I |       - in_features = 3072/15360
+25-07-21 22:47:05 | I |       - out_features = 3072
+25-07-21 22:47:05 | I |     + Replacing fused Linear in single_transformer_blocks.1 with ConcatLinear.
+25-07-21 22:47:05 | I |       - in_features = 3072/15360
+25-07-21 22:47:05 | I |       - out_features = 3072
+25-07-21 22:47:05 | I |     + Replacing fused Linear in single_transformer_blocks.2 with ConcatLinear.
+25-07-21 22:47:05 | I |       - in_features = 3072/15360
+25-07-21 22:47:05 | I |       - out_features = 3072
+```
+
 2) KeyError: <class 'diffusers.models.transformers.transformer_flux.FluxAttention'>