correct vocab

light_and_shadow.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15a630ab2255460b2e99b1e5a6765a1cedcd210e2ffca32474bd02df24232624
+size 151110122

run_lora

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+#!/usr/bin/env python3
+from diffusers import StableDiffusionPipeline, KDPM2DiscreteScheduler, StableDiffusionImg2ImgPipeline, HeunDiscreteScheduler, KDPM2AncestralDiscreteScheduler, DDIMScheduler,  DPMSolverMultistepScheduler
+import time
+import os
+from huggingface_hub import HfApi
+# from compel import Compel
+import torch
+import sys
+from pathlib import Path
+import requests
+from PIL import Image
+from io import BytesIO
+
+# path = sys.argv[1]
+path = "runwayml/stable-diffusion-v1-5"
+# path = "stabilityai/stable-diffusion-2-1"
+
+api = HfApi()
+start_time = time.time()
+pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(
+    pipe.scheduler.config, use_karras_sigmas=True
+)
+pipe = pipe.to("cuda")
+
+pipe.load_lora_weights(".", weight_name="light_and_shadow.safetensors")
+
+prompt = "masterpiece, best quality, 1girl, at dusk"
+negative_prompt = ("(low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), "
+                   "bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), large breasts")
+
+images = pipe(prompt=prompt, 
+    negative_prompt=negative_prompt, 
+    width=512, 
+    height=768, 
+    num_inference_steps=15, 
+    num_images_per_prompt=4,
+    generator=torch.manual_seed(0)
+).images
+
+
+for i, image in enumerate(images):
+    file_name = f"aa_{i}"
+    path = os.path.join(Path.home(), "images", f"{file_name}.png")
+    image.save(path)
+
+    api.upload_file(
+        path_or_fileobj=path,
+        path_in_repo=path.split("/")[-1],
+        repo_id="patrickvonplaten/images",
+        repo_type="dataset",
+    )
+    print(f"https://huggingface.co/datasets/patrickvonplaten/images/blob/main/{file_name}.png")