more changes for #13865: fix formatting, rename the function, add comment and add a readme entry

README.md

@@ -91,6 +91,7 @@ A browser interface based on Gradio library for Stable Diffusion.
 - Eased resolution restriction: generated image's dimensions must be a multiple of 8 rather than 64
 - Now with a license!
 - Reorder elements in the UI from settings screen
+- [Segmind Stable Diffusion](https://huggingface.co/segmind/SSD-1B) support
 
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for:

modules/sd_hijack.py

@@ -184,17 +184,19 @@ class StableDiffusionModelHijack:
             errors.display(e, "applying cross attention optimization")
             undo_optimizations()
 
-    def conv_ssd(self, m):
-            delattr(m.model.diffusion_model.middle_block, '1')
-            delattr(m.model.diffusion_model.middle_block, '2')
-            for i in ['9','8','7','6','5','4']:
-                delattr(m.model.diffusion_model.input_blocks[7][1].transformer_blocks,i)
-                delattr(m.model.diffusion_model.input_blocks[8][1].transformer_blocks,i)
-                delattr(m.model.diffusion_model.output_blocks[0][1].transformer_blocks,i)
-                delattr(m.model.diffusion_model.output_blocks[1][1].transformer_blocks,i)
-            delattr(m.model.diffusion_model.output_blocks[4][1].transformer_blocks,'1')
-            delattr(m.model.diffusion_model.output_blocks[5][1].transformer_blocks,'1')
-            devices.torch_gc()
+    def convert_sdxl_to_ssd(self, m):
+        """Converts an SDXL model to a Segmind Stable Diffusion model (see https://huggingface.co/segmind/SSD-1B)"""
+
+        delattr(m.model.diffusion_model.middle_block, '1')
+        delattr(m.model.diffusion_model.middle_block, '2')
+        for i in ['9', '8', '7', '6', '5', '4']:
+            delattr(m.model.diffusion_model.input_blocks[7][1].transformer_blocks, i)
+            delattr(m.model.diffusion_model.input_blocks[8][1].transformer_blocks, i)
+            delattr(m.model.diffusion_model.output_blocks[0][1].transformer_blocks, i)
+            delattr(m.model.diffusion_model.output_blocks[1][1].transformer_blocks, i)
+        delattr(m.model.diffusion_model.output_blocks[4][1].transformer_blocks, '1')
+        delattr(m.model.diffusion_model.output_blocks[5][1].transformer_blocks, '1')
+        devices.torch_gc()
 
     def hijack(self, m):
         conditioner = getattr(m, 'conditioner', None)

modules/sd_models.py

@@ -357,7 +357,7 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
         sd_models_xl.extend_sdxl(model)
 
     if model.is_ssd:
-        sd_hijack.model_hijack.conv_ssd(model)
+        sd_hijack.model_hijack.convert_sdxl_to_ssd(model)
 
     if shared.opts.sd_checkpoint_cache > 0:
         # cache newly loaded model