Update README.md

README.md

@@ -4,13 +4,43 @@ tags:
 - text-to-image
 - stable-diffusion
 ---
-### Froggy_Style_V21-768 Dreambooth model trained by TheLastBen with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
+### Froggy Style V2.1
+#### V2.1-768 Model by TheLastBen
 
+This model is trained on 11 Midjourney images 768x768, 1300 steps and 300 steps text_encoder (30% because the total steps is low, normally 15%)
 
-Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
-Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
 
-Sample pictures of this concept:
-
-![0](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/sample_images/00031-778398278-ttdddd,__ultra_high_quality_render,_highly_intricate,_8k,_cinematic,_volumetric_lighting,__sharp_focus,_micro_details.png)
+#### Prompts to start with :
     
+ttdddd , __________, movie, ultra high quality render, high quality graphical details, 8k, volumetric lighting,  micro details, (cinematic)
+
+Negative : bad,  low-quality, 3d, game
+
+The prompt also can be as simple as the instance name : ttdddd and you will still get great results.
+
+
+You can also train your own concepts and upload them to the library by using  [fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb).
+
+Test the concept via A1111 Colab :[fast-stable-diffusion-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
+
+
+#### Sample pictures of this concept:
+
+!["" 0](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(1).png)
+    !["" 1](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(14).png)
+    !["" 2](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(3).png)
+    !["" 3](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(4).png)
+    !["" 4](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(5).png)
+    !["" 5](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(6).png)
+    !["" 6](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(7).png)
+    !["" 7](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(8).png)
+    !["" 8](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(9).png)
+    !["" 9](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(10).png)
+    !["" 10](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(11).png)
+    !["" 11](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(12).png)
+    !["" 12](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(13).png)
+    !["" 13](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(2).png)
+    !["" 14](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(15).png)
+    !["" 15](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(16).png)
+    !["" 16](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(17).png)
+    !["" 17](https://huggingface.co/TheLastBen/froggy-style-v21-768/resolve/main/concept_images/img%20(18).png)