rezaarmand commited on
Commit
afd9e6c
1 Parent(s): f28aba0

changing the text again for more clarification

Browse files
Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -110,8 +110,7 @@ Our method helps you achieve three amazing things:
110
  2. Generate any view of objects that the original Stable Diffusion implementation couldn't produce. For example, you can generate a "peacock, back view" by using "peacock, front view" as the negative prompt. Compare our method to [Stable Diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion).
111
  3. Alleviate the multihead problem in text-to-3D. Check out our work on this at [perp-neg.github.io](https://perp-neg.github.io/).
112
 
113
- To use our demo, simply enter your main prompt first, followed by a set of positive and negative prompts separated by "|". When only one prompt is provided and the weight of that prompt is 1, it is identical to using Stable Diffusion. We provided those as examples for the sake of comparison of our algorithm to Stable Diffusion. Put the weight of main prompt as 1.
114
-
115
  Use our demo to create some amazing and unique images!
116
  '''
117
 
 
110
  2. Generate any view of objects that the original Stable Diffusion implementation couldn't produce. For example, you can generate a "peacock, back view" by using "peacock, front view" as the negative prompt. Compare our method to [Stable Diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion).
111
  3. Alleviate the multihead problem in text-to-3D. Check out our work on this at [perp-neg.github.io](https://perp-neg.github.io/).
112
 
113
+ To use our demo, simply enter your main prompt first, followed by a set of positive and negative prompts separated by "|". When only one prompt is provided and the weight of that prompt is 1, it is identical to using Stable Diffusion. We provided those as examples for the sake of comparison of our algorithm to Stable Diffusion. Put the weight of main prompt as 1. Provide a complete sentence for negative prompt. The number of weights should be equal to the number of the prompts. Vary the weight of the negative prompts from -0.1 to -3 to produce desired results.
 
114
  Use our demo to create some amazing and unique images!
115
  '''
116