Update README.md

README.md

@@ -7,10 +7,6 @@ license: mit
 [TAESD](https://github.com/madebyollin/taesd) is very tiny autoencoder which uses the same "latent API" as Stable Diffusion's VAE.
 TAESD is useful for [real-time previewing](https://twitter.com/madebyollin/status/1679356448655163394) of the SD generation process.
 
-Comparison on my laptop:
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630447d40547362a22a969a2/Xj0l9V2wpG7YWTzrGxpWI.jpeg)
-
 This repo contains `.safetensors` versions of the TAESD weights.
 
 For SDXL, use [TAESDXL](https://huggingface.co/madebyollin/taesdxl/) instead (the SD and SDXL VAEs are [incompatible](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/discussions/6#64b8a9c13707b7d603c6ac16)).
@@ -27,7 +23,9 @@ pipe = DiffusionPipeline.from_pretrained(
 pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesd", torch_dtype=torch.float16)
 pipe = pipe.to("cuda")
 
-prompt = "slice of delicious New York-style berry cheesecake"
-image = pipe(prompt, num_inference_steps=25).images[0]
+prompt = "slice of delicious New York-style cheesecake topped with berries, mint, chocolate crumble"
+image = pipe(prompt, num_inference_steps=50, generator=torch.Generator("cpu").manual_seed(0x7A35D)).images[0]
 image.save("cheesecake.png")
-```
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/630447d40547362a22a969a2/m4pVdlJ25U774v04Tsgzu.png)