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Support for torch.float16 to half VRAM requirements #5

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7 changes: 7 additions & 0 deletions src/semdiffusers/pipeline_latent_edit_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -508,6 +508,10 @@ def __call__(
concept_weights[c, :] = tmp_weights

noise_guidance_edit_tmp = noise_guidance_edit_tmp * edit_guidance_scale_c

if latents_dtype not in [torch.float, torch.double]:
noise_guidance_edit_tmp = noise_guidance_edit_tmp.float()

tmp = torch.quantile(torch.abs(noise_guidance_edit_tmp).flatten(start_dim=2), edit_threshold_c, dim=2, keepdim=False)
noise_guidance_edit_tmp = torch.where(
torch.abs(noise_guidance_edit_tmp) >= tmp[:, :, None, None]
Expand Down Expand Up @@ -568,6 +572,9 @@ def __call__(

noise_pred = noise_pred_uncond + noise_guidance

if latents_dtype not in [torch.float, torch.double]:
noise_pred = noise_pred.to(torch.float16)

# compute the previous noisy sample x_t -> x_t-1
latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs).prev_sample

Expand Down