From 7349088d32b080f64058b6e5de5f0380a71ecd09 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Mon, 10 Oct 2022 16:11:14 +0300 Subject: --no-half-vae --- modules/processing.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index 94d2dd62..ec8651ae 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -259,6 +259,13 @@ def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=0.0, see return x +def decode_first_stage(model, x): + with devices.autocast(disable=x.dtype == devices.dtype_vae): + x = model.decode_first_stage(x) + + return x + + def get_fixed_seed(seed): if seed is None or seed == '' or seed == -1: return int(random.randrange(4294967294)) @@ -400,7 +407,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: samples_ddim = samples_ddim.to(devices.dtype) - x_samples_ddim = p.sd_model.decode_first_stage(samples_ddim) + x_samples_ddim = decode_first_stage(p.sd_model, samples_ddim) x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0) del samples_ddim @@ -533,7 +540,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): if self.scale_latent: samples = torch.nn.functional.interpolate(samples, size=(self.height // opt_f, self.width // opt_f), mode="bilinear") else: - decoded_samples = self.sd_model.decode_first_stage(samples) + decoded_samples = decode_first_stage(self.sd_model, samples) if opts.upscaler_for_img2img is None or opts.upscaler_for_img2img == "None": decoded_samples = torch.nn.functional.interpolate(decoded_samples, size=(self.height, self.width), mode="bilinear") -- cgit v1.2.3 From 8f1efdc130cf7ff47cb8d3722cdfc0dbeba3069e Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Mon, 10 Oct 2022 17:03:45 +0300 Subject: --no-half-vae pt2 --- modules/processing.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index ec8651ae..50ba4fc5 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -405,8 +405,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: # use the image collected previously in sampler loop samples_ddim = shared.state.current_latent - samples_ddim = samples_ddim.to(devices.dtype) - + samples_ddim = samples_ddim.to(devices.dtype_vae) x_samples_ddim = decode_first_stage(p.sd_model, samples_ddim) x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0) -- cgit v1.2.3