Update README.md
Browse files
README.md
CHANGED
@@ -57,17 +57,6 @@ Exceptional generalization: With its unparalleled ability to adapt to an extensi
|
|
57 |
|
58 |
Efficient fine-tuning: The Mobius base model serves as a superior foundation for creating specialized models tailored to specific tasks or domains, requiring significantly less fine-tuning and computational resources compared to other state-of-the-art models.
|
59 |
|
60 |
-
### Groundbreaking Performance
|
61 |
-
Mobius has been rigorously tested across an unparalleled variety of prompts, consistently demonstrating its exceptional performance in numerous scenarios:
|
62 |
-
|
63 |
-
Generating photorealistic images of people, animals, and objects with an unprecedented level of detail and accuracy
|
64 |
-
Creating breathtaking artwork in a wide spectrum of styles, from classic paintings to cutting-edge digital art, surpassing the quality and diversity of existing models
|
65 |
-
Producing highly detailed and precise visualizations of complex scientific concepts and data, enabling new possibilities for research and education
|
66 |
-
|
67 |
-
### Collaborative Evolution
|
68 |
-
|
69 |
-
We invite the community to contribute to the ongoing development of Mobius, helping to shape the future of debiased diffusion models. Please refer to our contribution guidelines for more information on how to get involved.
|
70 |
-
|
71 |
|
72 |
## Usage and Recommendations
|
73 |
|
|
|
57 |
|
58 |
Efficient fine-tuning: The Mobius base model serves as a superior foundation for creating specialized models tailored to specific tasks or domains, requiring significantly less fine-tuning and computational resources compared to other state-of-the-art models.
|
59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
60 |
|
61 |
## Usage and Recommendations
|
62 |
|