Update README.md
Browse files
README.md
CHANGED
@@ -5,13 +5,19 @@ thumbnail: "https://huggingface.co/Linaqruf/hitokomoru/resolve/main/thumbnail.pn
|
|
5 |
|
6 |
# Hitokomoru Diffusion
|
7 |
|
8 |
-
**Welcome to Hitokomoru Diffusion** - a latent diffusion model that has been trained on Japanese Artist artwork, [γγγγγ/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of `2.0e-6` for `
|
9 |
|
10 |
e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
|
11 |
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
# Dataset
|
13 |
|
14 |
-
You can find datasets used to train this model [here](https://huggingface.co/datasets/Linaqruf/hitokomoru-tag)
|
15 |
|
16 |
## Examples
|
17 |
|
|
|
5 |
|
6 |
# Hitokomoru Diffusion
|
7 |
|
8 |
+
**Welcome to Hitokomoru Diffusion** - a latent diffusion model that has been trained on Japanese Artist artwork, [γγγγγ/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of `2.0e-6` for `20000 training steps`/`80 Epochs` 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.
|
9 |
|
10 |
e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
|
11 |
|
12 |
+
There is 4 variations of this model available so far:
|
13 |
+
- `hitokomoru-5000.ckpt for the checkpoint trained on 5,000 steps.`
|
14 |
+
- `hitokomoru-10000.ckpt for the checkpoint trained on 10,000 steps.`
|
15 |
+
- `hitokomoru-15000.ckpt for the checkpoint trained on 15,000 steps.`
|
16 |
+
- `hitokomoru-20000.ckpt for the checkpoint trained on 20,000 steps.`
|
17 |
+
|
18 |
# Dataset
|
19 |
|
20 |
+
You can find `datasets` used to train this model and the `last-state` folder for resume training [here](https://huggingface.co/datasets/Linaqruf/hitokomoru-tag)
|
21 |
|
22 |
## Examples
|
23 |
|