-
Add feature suggestions below:
Current Goals:
- [x] Huber Loss
- [x] LPIPS Loss
- [ ] Modularize Code
- [ ] Add Sampling To Model
- [x] Add Unet & Required Modules
- [ ] Add conditioning …
-
The training and sampling strategy is similar to siggrapah 2023: **Iterative 𝛼-(de)Blending: a Minimalist Deterministic Diffusion Model**
-
Hi, Wenhao,
I am interested in your paper concerning latent flow matching for audio generation. However, I am a freshman in this field, and I am confused about the Euler sampling method implemented i…
-
This issue is opened for users to suggest improvements for the Flow Matching tutorial notebook.
-
Hi, thanks for your great work. I notice that you add a small gaussian noise when sampling `x_t` in `CFM`:
```python3
mu_t = t_unsqueeze * x1 + (1 - t_unsqueeze) * x0 # conditional Gaussian mean
…
-
Thank you for your work and sharing!
It seems VoiceFLow-TTS and MATCHA-TTS(https://github.com/shivammehta25/Matcha-TTS/) are very similar?
What is the main diffences between two methods?
And How a…
-
Hi, it was hard to understand, but intuitively I was able to understand the paper (I spent huge time to understand equations). Can you suggest me the relative books or courses to understand differenti…
-
I've implemented:
1) Rectified flow model from SD 2.1
2) Flow Matching inversion (similar to DDIM Inversion)
3) Euler, Midpoint and RK4 solvers
4) $Reflow^2$
5) $Reflow^2$ one step distillaiton
…
-
A strongly related concept to rectified flows is conditional flow matching (https://arxiv.org/abs/2210.02747). I just want to bring it to your attention, in case there is some inspiration that can be …
-
## Flow 1
- multiple schema issues with LSP responses (buyer app should send NACK in such cases)
## Flow 2
- cancellation flow triggering RTO should be implemented
### Note: kindly test w…