Merge pull request #2233 from vladmandic/master

update dev from master
This commit is contained in:
Vladimir Mandic
2023-09-21 07:51:09 -04:00
committed by GitHub
2 changed files with 9 additions and 5 deletions
+5 -1
View File
@@ -17,7 +17,11 @@ def ipex_init(): # pylint: disable=too-many-statements
torch.cuda.device = torch.xpu.device
torch.cuda.device_count = torch.xpu.device_count
torch.cuda.device_of = torch.xpu.device_of
torch.cuda.getDeviceIdListForCard = torch.xpu.getDeviceIdListForCard
# getDeviceIdListForCard is renamed since https://github.com/intel/intel-extension-for-pytorch/commit/835b41fd5c8b6facf9efee8312f20699850ee592
if hasattr(torch.xpu, 'getDeviceIdListForCard'):
torch.cuda.getDeviceIdListForCard = torch.xpu.getDeviceIdListForCard
else:
torch.cuda.getDeviceIdListForCard = torch.xpu.get_device_id_list_per_card
torch.cuda.get_device_name = torch.xpu.get_device_name
torch.cuda.get_device_properties = torch.xpu.get_device_properties
torch.cuda.init = torch.xpu.init
+4 -4
View File
@@ -319,7 +319,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
unload_diffusers_lora()
return results
if shared.opts.diffusers_move_base and not hasattr(shared.sd_model, 'has_accelerate', False):
if shared.opts.diffusers_move_base and not getattr(shared.sd_model, 'has_accelerate', False):
shared.sd_model.to(devices.device)
is_img2img = bool(sd_models.get_diffusers_task(shared.sd_model) == sd_models.DiffusersTaskType.IMAGE_2_IMAGE or sd_models.get_diffusers_task(shared.sd_model) == sd_models.DiffusersTaskType.INPAINTING)
@@ -417,7 +417,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
if is_refiner_enabled:
if shared.opts.save and not p.do_not_save_samples and shared.opts.save_images_before_refiner and hasattr(shared.sd_model, 'vae'):
save_intermediate(latents=output.images, suffix="-before-refiner")
if shared.opts.diffusers_move_base and not hasattr(shared.sd_model, 'has_accelerate', False):
if shared.opts.diffusers_move_base and not getattr(shared.sd_model, 'has_accelerate', False):
shared.log.debug('Moving to CPU: model=base')
shared.sd_model.to(devices.cpu)
devices.torch_gc()
@@ -433,7 +433,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
unload_diffusers_lora()
return results
if shared.opts.diffusers_move_refiner and not hasattr(shared.sd_refiner, 'has_accelerate', False):
if shared.opts.diffusers_move_refiner and not getattr(shared.sd_refiner, 'has_accelerate', False):
shared.sd_refiner.to(devices.device)
refiner_is_sdxl = bool("StableDiffusionXL" in shared.sd_refiner.__class__.__name__)
p.ops.append('refine')
@@ -469,7 +469,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
for refiner_image in refiner_images:
results.append(refiner_image)
if shared.opts.diffusers_move_refiner and not hasattr(shared.sd_refiner, 'has_accelerate', False):
if shared.opts.diffusers_move_refiner and not getattr(shared.sd_refiner, 'has_accelerate', False):
shared.log.debug('Moving to CPU: model=refiner')
shared.sd_refiner.to(devices.cpu)
devices.torch_gc()