Update README.md

README.md

@@ -1,6 +1,50 @@
 ---
-license: openrail++
+license: other
 datasets:
 - Mitsua/vroid-image-dataset-lite
 pipeline_tag: text-to-image
----
+---
+# Model Card for VRoid Diffusion
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is a latent text-to-image diffusion model to demonstrate how U-Net training affects the generated images.
+
+Text Encoder is from [OpenCLIP ViT-H/14](https://github.com/mlfoundations/open_clip), MIT License, Training Data : LAION-2B
+VAE is from [Mitsua Diffusion One](https://huggingface.co/Mitsua/mitsua-diffusion-one), Mitsua Open RAIL-M License, Training Data: Public Domain/CC0 + Licensed
+
+U-Net is trained from scratch using full version of [VRoid Image Dataset Lite](https://huggingface.co/datasets/Mitsua/vroid-image-dataset-lite) with some modifications.
+
+- VRoid is a trademark or registered trademark of Pixiv inc. in Japan and other regions.
+
+## Model Details
+
+- `vroid_diffusion_test.safetensors`
+  - base variant.
+- `vroid_diffusion_test_invert_red_blue.safetensors`
+  - `red` and `blue` in the caption is swapped.
+  - `pink` and `skyblue` in the caption is swapped.
+- `vroid_diffusion_test_monochrome.safetensors`
+  - all training images are converted to grayscale.
+
+
+### Model Description
+
+- **Developed by:** Abstract Engine.
+- **License:** Mitsua Open RAIL-M License.
+
+## Uses
+
+### Direct Use
+
+Text-to-Image generation for research purposes.
+
+### Out-of-Scope Use
+
+Any deployed use case of the model.
+
+## Training Details
+
+### Training Data
+
+We use full version of [VRoid Image Dataset Lite](https://huggingface.co/datasets/Mitsua/vroid-image-dataset-lite) with some modifications.