Create README.md

README.md

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+---
+license: creativeml-openrail-m
+base_model: gsdf/Counterfeit-V2.5
+tags:
+  - stable-diffusion
+  - stable-diffusion-diffusers
+  - text-to-image
+  - diffusers
+  - lora
+  - civitai
+  - a1111
+---
+
+This repository contains a LoRA model downloaded from [CivitAI](https://civitai.com/models/13239/light-and-shadow).
+
+You can load this checkpoint in 🧨 diffusers and perform like so:
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+
+pipeline = StableDiffusionPipeline.from_pretrained(
+    "gsdf/Counterfeit-V2.5", torch_dtype=torch.float16, safety_checker=None
+).to("cuda")
+pipeline.scheduler = DPMSolverMultistepScheduler.from_config(
+    pipeline.scheduler.config, use_karras_sigmas=True
+)
+
+pipeline.load_lora_weights(
+    "sayakpaul/civitai-light-shadow-lora", 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")
+
+image = pipeline(prompt=prompt, 
+    negative_prompt=negative_prompt, 
+    width=512, 
+    height=768, 
+    num_inference_steps=15, 
+    # num_images_per_prompt=1,
+    generator=torch.manual_seed(0)
+).images[0]
+image.save("image.png")
+```
+
+Below is a comparison between the LoRA and the non-LoRA results:
+
+<div align="center">
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/lora_non_lora_comparison.png" width=650/>
+</div>