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-rw-r--r--candle-examples/examples/stable-diffusion-3/main.rs44
1 files changed, 37 insertions, 7 deletions
diff --git a/candle-examples/examples/stable-diffusion-3/main.rs b/candle-examples/examples/stable-diffusion-3/main.rs
index d0bf4bb8..31d3fc42 100644
--- a/candle-examples/examples/stable-diffusion-3/main.rs
+++ b/candle-examples/examples/stable-diffusion-3/main.rs
@@ -19,13 +19,15 @@ enum Which {
V3_5Large,
#[value(name = "3.5-large-turbo")]
V3_5LargeTurbo,
+ #[value(name = "3.5-medium")]
+ V3_5Medium,
}
impl Which {
fn is_3_5(&self) -> bool {
match self {
Self::V3Medium => false,
- Self::V3_5Large | Self::V3_5LargeTurbo => true,
+ Self::V3_5Large | Self::V3_5LargeTurbo | Self::V3_5Medium => true,
}
}
}
@@ -117,36 +119,59 @@ fn main() -> Result<()> {
let default_inference_steps = match which {
Which::V3_5Large => 28,
Which::V3_5LargeTurbo => 4,
+ Which::V3_5Medium => 28,
Which::V3Medium => 28,
};
let num_inference_steps = num_inference_steps.unwrap_or(default_inference_steps);
let default_cfg_scale = match which {
Which::V3_5Large => 4.0,
Which::V3_5LargeTurbo => 1.0,
+ Which::V3_5Medium => 4.0,
Which::V3Medium => 4.0,
};
let cfg_scale = cfg_scale.unwrap_or(default_cfg_scale);
let api = hf_hub::api::sync::Api::new()?;
let (mmdit_config, mut triple, vb) = if which.is_3_5() {
- let sai_repo = {
+ let sai_repo_for_text_encoders = {
+ let name = match which {
+ Which::V3_5Large => "stabilityai/stable-diffusion-3.5-large",
+ Which::V3_5LargeTurbo => "stabilityai/stable-diffusion-3.5-large-turbo",
+
+ // Unfortunately, stabilityai/stable-diffusion-3.5-medium doesn't have the monolithic text encoders that's usually
+ // placed under the text_encoders directory, like the case in stabilityai/stable-diffusion-3.5-large and -large-turbo.
+ // To make things worse, it currently only has partitioned model.fp16-00001-of-00002.safetensors and model.fp16-00002-of-00002.safetensors
+ // under the text_encoder_3 directory, for the t5xxl_fp16.safetensors model. This means that we need to merge the two partitions
+ // to get the monolithic text encoders. This is not a trivial task.
+ // Since the situation can change, we do not want to spend efforts to handle the uniqueness of stabilityai/stable-diffusion-3.5-medium,
+ // which involves different paths and merging the two partitions files for t5xxl_fp16.safetensors.
+ // so for now, we'll use the text encoder models from the stabilityai/stable-diffusion-3.5-large repository.
+ // TODO: Change to "stabilityai/stable-diffusion-3.5-medium" once the maintainers of the repository add back the monolithic text encoders.
+ Which::V3_5Medium => "stabilityai/stable-diffusion-3.5-large",
+ Which::V3Medium => unreachable!(),
+ };
+ api.repo(hf_hub::Repo::model(name.to_string()))
+ };
+ let sai_repo_for_mmdit = {
let name = match which {
Which::V3_5Large => "stabilityai/stable-diffusion-3.5-large",
Which::V3_5LargeTurbo => "stabilityai/stable-diffusion-3.5-large-turbo",
+ Which::V3_5Medium => "stabilityai/stable-diffusion-3.5-medium",
Which::V3Medium => unreachable!(),
};
api.repo(hf_hub::Repo::model(name.to_string()))
};
- let clip_g_file = sai_repo.get("text_encoders/clip_g.safetensors")?;
- let clip_l_file = sai_repo.get("text_encoders/clip_l.safetensors")?;
- let t5xxl_file = sai_repo.get("text_encoders/t5xxl_fp16.safetensors")?;
+ let clip_g_file = sai_repo_for_text_encoders.get("text_encoders/clip_g.safetensors")?;
+ let clip_l_file = sai_repo_for_text_encoders.get("text_encoders/clip_l.safetensors")?;
+ let t5xxl_file = sai_repo_for_text_encoders.get("text_encoders/t5xxl_fp16.safetensors")?;
let model_file = {
let model_file = match which {
Which::V3_5Large => "sd3.5_large.safetensors",
Which::V3_5LargeTurbo => "sd3.5_large_turbo.safetensors",
+ Which::V3_5Medium => "sd3.5_medium.safetensors",
Which::V3Medium => unreachable!(),
};
- sai_repo.get(model_file)?
+ sai_repo_for_mmdit.get(model_file)?
};
let triple = StableDiffusion3TripleClipWithTokenizer::new_split(
&clip_g_file,
@@ -157,7 +182,12 @@ fn main() -> Result<()> {
let vb = unsafe {
candle_nn::VarBuilder::from_mmaped_safetensors(&[model_file], DType::F16, &device)?
};
- (MMDiTConfig::sd3_5_large(), triple, vb)
+ match which {
+ Which::V3_5Large => (MMDiTConfig::sd3_5_large(), triple, vb),
+ Which::V3_5LargeTurbo => (MMDiTConfig::sd3_5_large(), triple, vb),
+ Which::V3_5Medium => (MMDiTConfig::sd3_5_medium(), triple, vb),
+ Which::V3Medium => unreachable!(),
+ }
} else {
let sai_repo = {
let name = "stabilityai/stable-diffusion-3-medium";