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Preliminary support for ssd1b. (#1233)
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@ -102,6 +102,14 @@ impl Config {
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}
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}
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pub fn ssd1b() -> Self {
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Self::sdxl()
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}
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pub fn ssd1b2() -> Self {
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Self::sdxl2()
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}
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// https://huggingface.co/warp-ai/wuerstchen/blob/main/text_encoder/config.json
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pub fn wuerstchen() -> Self {
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Self {
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@ -249,6 +249,71 @@ impl StableDiffusionConfig {
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)
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}
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pub fn ssd1b(
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sliced_attention_size: Option<usize>,
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height: Option<usize>,
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width: Option<usize>,
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) -> Self {
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let bc = |out_channels, use_cross_attn, attention_head_dim| unet_2d::BlockConfig {
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out_channels,
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use_cross_attn,
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attention_head_dim,
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};
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// https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/unet/config.json
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let unet = unet_2d::UNet2DConditionModelConfig {
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blocks: vec![
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bc(320, None, 5),
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bc(640, Some(2), 10),
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bc(1280, Some(10), 20),
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],
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center_input_sample: false,
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cross_attention_dim: 2048,
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downsample_padding: 1,
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flip_sin_to_cos: true,
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freq_shift: 0.,
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layers_per_block: 2,
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mid_block_scale_factor: 1.,
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norm_eps: 1e-5,
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norm_num_groups: 32,
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sliced_attention_size,
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use_linear_projection: true,
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};
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// https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/vae/config.json
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let autoencoder = vae::AutoEncoderKLConfig {
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block_out_channels: vec![128, 256, 512, 512],
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layers_per_block: 2,
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latent_channels: 4,
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norm_num_groups: 32,
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};
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let scheduler = ddim::DDIMSchedulerConfig {
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..Default::default()
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};
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let height = if let Some(height) = height {
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assert_eq!(height % 8, 0, "height has to be divisible by 8");
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height
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} else {
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1024
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};
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let width = if let Some(width) = width {
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assert_eq!(width % 8, 0, "width has to be divisible by 8");
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width
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} else {
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1024
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};
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Self {
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width,
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height,
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clip: clip::Config::ssd1b(),
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clip2: Some(clip::Config::ssd1b2()),
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autoencoder,
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scheduler,
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unet,
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}
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}
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pub fn build_vae<P: AsRef<std::path::Path>>(
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&self,
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vae_weights: P,
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