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SDXL support

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AUTOMATIC1111
2023-07-12 23:52:43 +03:00
parent af081211ee
commit da464a3fb3
16 changed files with 241 additions and 44 deletions
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14
modules/sd_models.py
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@@ -411,6 +411,7 @@ def repair_config(sd_config):
sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
sdxl_clip_weight = 'conditioner.embedders.1.model.ln_final.weight'
class SdModelData:
@@ -445,6 +446,15 @@ class SdModelData:
model_data = SdModelData()
def get_empty_cond(sd_model):
if hasattr(sd_model, 'conditioner'):
d = sd_model.get_learned_conditioning([""])
return d['crossattn']
else:
return sd_model.cond_stage_model([""])
def load_model(checkpoint_info=None, already_loaded_state_dict=None):
from modules import lowvram, sd_hijack
checkpoint_info = checkpoint_info or select_checkpoint()
@@ -465,7 +475,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
clip_is_included_into_sd = sd1_clip_weight in state_dict or sd2_clip_weight in state_dict
clip_is_included_into_sd = sd1_clip_weight in state_dict or sd2_clip_weight in state_dict or sdxl_clip_weight in state_dict
timer.record("find config")
@@ -517,7 +527,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
timer.record("scripts callbacks")
with devices.autocast(), torch.no_grad():
sd_model.cond_stage_model_empty_prompt = sd_model.cond_stage_model([""])
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
timer.record("calculate empty prompt")