Update README.md

README.md

@@ -1,3 +1,22 @@
 ---
 license: mit
+tags:
+- stable-diffusion
 ---
+
+[ACertainty](https://huggingface.co/JosephusCheung/ACertainty)をLatent Consistency Modelの手法で蒸留して4～8ステップほどで生成できるようにしました。性能はまだまだという感じです。
+
+```py
+from diffusers import DiffusionPipeline
+import torch
+
+pipe = DiffusionPipeline.from_pretrained("furusu/LCM-ACertainty", custom_pipeline="latent_consistency_txt2img", custom_revision="main")
+pipe.to(torch_device="cuda", torch_dtype=torch.float16)
+
+prompt = "anime, masterpiece, best quality, 1girl, solo, blush, sitting, twintails, blonde hair, bowtie, school uniforme, nature"
+
+num_inference_steps =4
+images = pipe(prompt=prompt, num_inference_steps=num_inference_steps, guidance_scale=5.0, lcm_origin_steps=50, height=768, width=768, output_type="pil").images
+
+image[0].save("./aaaaa.png")
+```