apurik-parv
/

abstract-nature-pattern-v1-2

StableDiffusionPipeline

Inference Endpoints

Model card Files Files and versions Community

apurik-parv commited on Nov 28, 2022

Commit

6cdf324

•

1 Parent(s): b78b6f4

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -4,7 +4,7 @@ tags:
 - text-to-image
 ---
 ### abstract_nature_pattern_v1.2 Dreambooth model trained by apurik-parv with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
 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)

 - text-to-image
 ---
 ### abstract_nature_pattern_v1.2 Dreambooth model trained by apurik-parv with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
+##### This model is trained with more data but unfortunately it overfits the image. I am not aware of the extent of overfitting some images are good some are really bad. Please leave suggestions in comment.
 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)