Ben_Kosytorz/burn-stablediffusion-vibecode
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Use wgpu by default and ndarray for convert

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Gadersd
2023-08-08 15:32:21 -04:00
parent b87273c2be
commit 1830756917
5 changed files with 20 additions and 26 deletions
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7
src/model/stablediffusion/mod.rs
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@@ -59,6 +59,11 @@ impl<B: Backend> StableDiffusion<B> {
let [n_batch, _, _] = context.dims();
let latent = self.sample_latent(context, unconditional_context, unconditional_guidance_scale, n_steps);
self.latent_to_image(latent)
}
pub fn latent_to_image(&self, latent: Tensor<B, 4>) -> Vec<Vec<u8>> {
let [n_batch, _, _, _] = latent.dims();
let image = self.autoencoder.decode_latent(latent * (1.0 / 0.18215));
let n_channel = 3;
@@ -157,7 +162,7 @@ impl<B: Backend> StableDiffusion<B> {
}
pub fn context(&self, tokenizer: &SimpleTokenizer, text: &str) -> Tensor<B, 3> {
let device = &self.devices()[0];
let device = &self.clip.devices()[0];
let text = format!("<|startoftext|>{}<|endoftext|>", text);
let tokenized: Vec<_> = tokenizer.encode(&text).into_iter().map(|v| v as i32).collect();