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F16 support for stable diffusion (#488)

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* F16 support for stable diffusion.

* Keep the attention bits in F32.

* Keep more of the attention bits in F32.

* More mixed precision support.
This commit is contained in:
Laurent Mazare
2023-08-17 13:48:56 +01:00
committed by GitHub
parent c3176f0dfb
commit 5d99026fd2
6 changed files with 99 additions and 43 deletions
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9
candle-examples/examples/stable-diffusion/stable_diffusion.rs
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@ -159,10 +159,11 @@ impl StableDiffusionConfig {
&self,
vae_weights: P,
device: &Device,
dtype: DType,
) -> Result<vae::AutoEncoderKL> {
let weights = unsafe { candle::safetensors::MmapedFile::new(vae_weights)? };
let weights = weights.deserialize()?;
let vs_ae = nn::VarBuilder::from_safetensors(vec![weights], DType::F32, device);
let vs_ae = nn::VarBuilder::from_safetensors(vec![weights], dtype, device);
// https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/vae/config.json
let autoencoder = vae::AutoEncoderKL::new(vs_ae, 3, 3, self.autoencoder.clone())?;
Ok(autoencoder)
@ -174,10 +175,11 @@ impl StableDiffusionConfig {
device: &Device,
in_channels: usize,
use_flash_attn: bool,
dtype: DType,
) -> Result<unet_2d::UNet2DConditionModel> {
let weights = unsafe { candle::safetensors::MmapedFile::new(unet_weights)? };
let weights = weights.deserialize()?;
let vs_unet = nn::VarBuilder::from_safetensors(vec![weights], DType::F32, device);
let vs_unet = nn::VarBuilder::from_safetensors(vec![weights], dtype, device);
let unet = unet_2d::UNet2DConditionModel::new(
vs_unet,
in_channels,
@ -196,10 +198,11 @@ impl StableDiffusionConfig {
&self,
clip_weights: P,
device: &Device,
dtype: DType,
) -> Result<clip::ClipTextTransformer> {
let weights = unsafe { candle::safetensors::MmapedFile::new(clip_weights)? };
let weights = weights.deserialize()?;
let vs = nn::VarBuilder::from_safetensors(vec![weights], DType::F32, device);
let vs = nn::VarBuilder::from_safetensors(vec![weights], dtype, device);
let text_model = clip::ClipTextTransformer::new(vs, &self.clip)?;
Ok(text_model)
}