Spaces:
Runtime error
Runtime error
readme update
Browse files
README.md
CHANGED
|
@@ -1,3 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Stable Diffusion using Textual Inversion
|
| 2 |
|
| 3 |
This is repo contains code that uses the Stable Diffusion model to generate images based on a textual prompt. It includes an option to apply vibrance loss to the generated images. The script uses the CLIP model for text and image embeddings and the Stable Diffusion model for image generation.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
title: StableDiffusion With VibranceLoss
|
| 3 |
+
emoji: 👁
|
| 4 |
+
colorFrom: gray
|
| 5 |
+
colorTo: indigo
|
| 6 |
+
sdk: gradio
|
| 7 |
+
sdk_version: 3.47.1
|
| 8 |
+
app_file: app.py
|
| 9 |
+
pinned: false
|
| 10 |
+
license: mit
|
| 11 |
+
---
|
| 12 |
+
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
| 13 |
+
|
| 14 |
+
|
| 15 |
# Stable Diffusion using Textual Inversion
|
| 16 |
|
| 17 |
This is repo contains code that uses the Stable Diffusion model to generate images based on a textual prompt. It includes an option to apply vibrance loss to the generated images. The script uses the CLIP model for text and image embeddings and the Stable Diffusion model for image generation.
|