Update README.md

README.md

@@ -4,7 +4,7 @@ license: creativeml-openrail-m
 
 # Hitokomoru Diffusion
 
-**Welcome to Hitokomoru Diffusion** - a latent diffusion model that has been trained on Japanese Artist artwork, [ヒトこもる/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of `2.0e-6` for `10000 learning steps` on `255 Hitokomoru artwork`. The model is trained using [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions. Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images.
+**Welcome to Hitokomoru Diffusion** - a latent diffusion model that has been trained on Japanese Artist artwork, [ヒトこもる/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of `2.0e-6` for `10000 training steps` on `255 images` collected from Danbooru. The model is trained using [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions. Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images.
 
 e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_** 
 
@@ -42,7 +42,7 @@ The CreativeML OpenRAIL License specifies:
 [Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
 
 ## What's next?
-- Trying to resuming training until 20k learning steps or even 50k if possible _(Research purpose, if the result is great I'll upload here)_
+- Trying to resuming training until 20k training steps or even 50k if possible _(Research purpose, if the result is great I'll upload here)_
 - Adding example images for `Scenery`
 
 ## Credit