Update README.md

README.md

@@ -1,45 +1,3 @@
----
-base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
-library_name: diffusers
-license: creativeml-openrail-m
-inference: true
-tags:
-- stable-diffusion
-- stable-diffusion-diffusers
-- text-to-image
-- diffusers
-- controlnet
-- diffusers-training
----
+MySpace ~ Your Vision, Our Creation
 
-<!-- This model card has been generated automatically according to the information the training script had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-
-# controlnet-razor7x/controlnet-trained-model
-
-These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.
-You can find some example images below.
-
-prompt: 4k, high resolution, Scandinavian style, light colors, aesthetic and dim lights.
-![images_0)](./images_0.png)
-prompt: 4k, high resolution, Scandinavian style, light colors, aesthetic and dim lights.
-![images_1)](./images_1.png)
-
-
-
-## Intended uses & limitations
-
-#### How to use
-
-```python
-# TODO: add an example code snippet for running this diffusion pipeline
-```
-
-#### Limitations and bias
-
-[TODO: provide examples of latent issues and potential remediations]
-
-## Training details
-
-[TODO: describe the data used to train the model]
+In today's world, people want to customize their living spaces according to their unique ideas and inspirations. However, hiring an interior designer for such customizations can be expensive, and many users are unaware of the potential costs involved in bringing their ideas to life. Our platform solves this problem by allowing users to customize their interiors easily and providing transparent cost estimates for their designs, making personalized interior design accessible and affordable.