:tada: change some process

app.py

@@ -42,9 +42,16 @@ def load_pipeline(model_id, use_model_offload, safety_checker):
         )
 
         # Load Textual Inversion
-        pipe.load_textual_inversion('checkpoints/embeddings/BadNegAnatomyV1 neg.pt', token='BadNegAnatomyV1-neg')
-        pipe.load_textual_inversion('checkpoints/embeddings/Deep Negative V1 75T.pt', token='DeepNegativeV1')
-        pipe.load_textual_inversion('checkpoints/embeddings/easynegative.safetensors', token='EasyNegative')
+        pipe.load_textual_inversion("checkpoints/embeddings/BadNegAnatomyV1 neg.pt", token='BadNegAnatomyV1-neg')
+        pipe.load_textual_inversion("checkpoints/embeddings/Deep Negative V1 75T.pt", token='DeepNegative')
+        pipe.load_textual_inversion("checkpoints/embeddings/easynegative.safetensors", token='EasyNegative')
+        pipe.load_textual_inversion("checkpoints/embeddings/Negative Hand Embedding.pt", token='negative_hand-neg')
+
+        # Load LoRA
+        pipe.load_lora_weights("checkpoints/lora/detailed style SD1.5.safetensors", adapter_name='detail')
+        pipe.load_lora_weights("checkpoints/lora/perfection style SD1.5.safetensors", adapter_name='perfection')
+        pipe.load_lora_weights("checkpoints/lora/Hand v3 SD1.5.safetensors", adapter_name='hands')
+        pipe.set_adapters(['detail', 'hands'], adapter_weights=[0.5, 0.5])
 
     # VRAM が少ないとき用の対策
     if use_model_offload:
@@ -83,10 +90,15 @@ def inference(
         tokenizer=pipe.tokenizer,
         text_encoder=pipe.text_encoder,
         textual_inversion_manager=textual_inversion_manager,
+        truncate_long_prompts=False,
     )
     prompt_embed = compel_procs(prompt)
     negative_prompt_embed = compel_procs(negative_prompt)
 
+    prompt_embed, negative_prompt_embed = compel_procs.pad_conditioning_tensors_to_same_length(
+        [prompt_embed, negative_prompt_embed]
+    )
+
     generator = torch.Generator(device=device).manual_seed(seed)
 
     progress(0.3, 'Generating images...')

checkpoints/embeddings/Negative Hand Embedding.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73b524a2da121eb1b7ad04dea11da286277813120700ff8f1d8522516f7b30ab
+size 25533

src/example.py

@@ -35,11 +35,15 @@ EXAMPLES = [
         prompt='A corgi wearing sunglasses says "U-Net is OVER!!"'
     ).to_list(),
     Example(
-        prompt='Cinematic Photo of a beautiful korean fashion model bokeh train',
+        prompt='Cinematic photo of a smiling beautiful Japanese fashion model',
         model_id='Beautiful Realistic Asians',
-        negative_prompt='(worst_quality)++, (BadNegAnatomyV1-neg), bradhands cartoon, cgi, render, illustration, painting, drawing',
-        width=768,
-        height=960,
+        negative_prompt=(
+            "(worst_quality)++ (low quality)++ "
+            "(BadNegAnatomyV1-neg) (Deep Negative) (EasyNegative) (negative_hand-neg) "
+            "bradhands cartoon, cgi, render, illustration, painting, drawing"
+        ),
+        width=640,
+        height=1024,
         guidance_scale=5.0,
         num_inference_step=50,
     ).to_list()