Ben_Kosytorz/burn-stablediffusion-vibecode
1
0
Fork 0
mirror of https://gitea.hainer-ernst.de/rasmus/burn-stablediffusion-vibecode.git synced 2026-06-11 02:09:21 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add model loading, saving, and conversion functionality

Browse Source
This commit is contained in:
Gadersd
2023-08-05 10:14:03 -04:00
parent 41fce2a47e
commit 9e247777fa
5 changed files with 160 additions and 126 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
src/model/stablediffusion/load.rs
View File

@@ -16,9 +16,7 @@ use crate::model::{load::*, autoencoder::load::load_autoencoder, unet::load::loa
pub fn load_stable_diffusion<B: Backend>(path: &str, device: &B::Device) -> Result<StableDiffusion<B>, Box<dyn Error>> {
let n_steps = load_usize::<B>("n_steps", path, device)?;
let alpha_cumulative_products: Vec<_> = load_tensor::<B, 1>("alphas_cumprod", path, device)?.into_data().value.into_iter()
.map(|v: <Float as BasicOps<B>>::Elem| v.to_f64().unwrap())
.collect();
let alpha_cumulative_products = load_tensor::<B, 1>("alphas_cumprod", path, device)?.into();
let autoencoder = load_autoencoder(&format!("{}/{}", path, "autoencoder"), device)?;
let diffusion = load_unet(&format!("{}/{}", path, "unet"), device)?;
let clip = load_clip(&format!("{}/{}", path, "clip"), device)?;