Azula 0.4.0

✨ What's new

• New Tweedie Moment Projected Diffusion (TMPD) guidance (#17)
• New Twisted Diffusion Sampling (TDS) guidance (31c33e9)
• New Diffusion Plug-and-Play Image Restoration (DiffPIR) guidance (3da9fd5)
• New RePaint guidance (46f714d)
• New Pseudo-inverse Guided Diffusion Model (PGDM) guidance (613a6dd)
• Updated guidance tutorial (21e2c7f)
• Refactored plugins API (7cd0121)
  Wrappers around pre-trained models have been standardized to the same formalism, inspired by Karras et al. (2022). Each wrapper defines the coefficients $c_\text{skip}$, $c_\text{out}$, $c_\text{in}$, and $c_\text{time}$ such that the pre-trained backbone $b_\phi$ parameterizes a denoiser

$$ d_\phi(x_t, t) = c_\text{skip}(t) x_t + c_\text{out}(t) b_\phi(c_\text{in}(t) x_t, c_\text{time}(t)) $$

• New Flux plugin (dc90f4d)
• New Sana plugin (790351a)
• New Stable Diffusion plugin (950494b)
• Updated latent diffusion tutorial (2c39f2a)

Full Changelog: 0.3.0...0.4.0