Update README.md

README.md

@@ -1,13 +1,7 @@
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 license: creativeml-openrail-m
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-**The model also available at CivitAI: https://civitai.com/models/34553**
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-Recommended models: v1.0-Q(uality)F(ix) and EXP-1
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-Comparison:
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-![Comparison](comparison.png)
+**The model also available at CivitAI and more well-documented there: https://civitai.com/models/34553**
 
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@@ -15,16 +9,18 @@ AingDiffusion (read: Ah-eeng Diffusion) is a merge of a bunch of anime models. T
 
 The word "aing" came from informal Sundanese; it means "I" or "My". The name represents that this model basically produces images that are relevant to my taste.
 
-Guide to generate good images with this model
+# Guide to generate good images with this model
 From my research, this model is compatible with NovelAI's animevae and pastel-mix-vae. I highly recommend pastel-mix-vae because it produces more vibrant color than animevae.
 
+**UPDATE [25/04/2023]**: I found an alternative VAE that you can use, ClearVAE Variant. It generates clearer images without upscaler like pastel-mix-vae did. Hi-res fix is still a good thing to do, though.
+
 Important: Hi-res fix is a must if you want to generate high-quality and high-resolution images. For the upscaler, I highly recommend SwinIR 4x. All the samples I uploaded are using SwinIR 4x.
 
 I also recommend using EasyNegative for negative prompts.
 
 Set Clip skip to 2, ENSD (eta noise seed delta) to 31337 and eta (noise multiplier) for ancestral samplers to 0.667.
 
-## Samples generated using the model (More at https://civitai.com/models/34553)
+# Samples generated using the model (More at https://civitai.com/models/34553)
 
 ![Sample 1](sample-1.png)
 ![Sample 2](sample-2.png)