add initial values

LORA_SDX1.5_Midjourney

@@ -0,0 +1 @@
+Subproject commit 63323113c63d268a2e2cb18323b93db639d6e44e

app.py

@@ -7,7 +7,11 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+pre="runwayml/stable-diffusion-v1-5"
+pipe = DiffusionPipeline.from_pretrained(
+    pre,
+    torch_dtype=torch.float16
+).to(device)
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -18,13 +22,13 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 512
+pipe.load_lora_weights("/home/user/app/LORA_SDX1.5_Midjourney/lora/pytorch_lora_weights.safetensors")
 
 
-# @spaces.GPU #[uncomment to use ZeroGPU]
+@spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
     prompt,
-    negative_prompt,
     seed,
     randomize_seed,
     width,
@@ -40,7 +44,6 @@ def infer(
 
     image = pipe(
         prompt=prompt,
-        negative_prompt=negative_prompt,
         guidance_scale=guidance_scale,
         num_inference_steps=num_inference_steps,
         width=width,
@@ -105,7 +108,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -113,7 +116,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():

requirements.txt

@@ -3,4 +3,8 @@ diffusers
 invisible_watermark
 torch
 transformers
-xformers
+xformers
+accelerate  
+peft 
+safetensors
+bitsandbytes