forked from extern/easydiffusion
Don't reload the model when using an initial image; Work in half-precision for txt2img as well, no change in the output image noticed
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parent
201a053025
commit
cf8bb9efb0
@ -79,7 +79,7 @@ except:
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print('WARNING: No compatible GPU found. Using the CPU, but this will be very slow!')
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pass
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def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast', half_model_fs=False):
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def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast'):
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global ckpt_file, model, modelCS, modelFS, model_is_half, device, unet_bs, precision, model_fs_is_half
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ckpt_file = ckpt_to_use
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@ -130,14 +130,11 @@ def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_u
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if device != "cpu" and precision == "autocast":
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model.half()
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modelCS.half()
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model_is_half = True
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else:
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model_is_half = False
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if half_model_fs:
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modelFS.half()
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model_is_half = True
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model_fs_is_half = True
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else:
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model_is_half = False
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model_fs_is_half = False
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print('loaded ', ckpt_file, 'to', device, 'precision', precision)
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@ -248,12 +245,10 @@ def do_mk_img(req: Request):
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device = 'cuda'
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if (precision == 'autocast' and (req.use_full_precision or not model_is_half)) or \
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(precision == 'full' and not req.use_full_precision and not force_full_precision) or \
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(req.init_image is None and model_fs_is_half) or \
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(req.init_image is not None and not model_fs_is_half and not force_full_precision):
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(precision == 'full' and not req.use_full_precision and not force_full_precision):
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del model, modelCS, modelFS
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load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'), half_model_fs=(req.init_image is not None and not req.use_full_precision))
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load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'))
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needs_model_reload = False
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if prev_device != device:
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@ -261,7 +256,7 @@ def do_mk_img(req: Request):
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load_model_real_esrgan(real_esrgan_file)
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if needs_model_reload:
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load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, precision, model_fs_is_half)
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load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, precision)
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if req.use_face_correction != gfpgan_file:
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load_model_gfpgan(req.use_face_correction)
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