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remove obsolete references to lora_diffusers.py

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This commit is contained in:
AI-Casanova
2023-10-07 13:13:24 -05:00
committed by GitHub
parent 941c283fc5
commit d79d2a7663
1 changed files with 0 additions and 13 deletions
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modules/processing_diffusers.py
-13
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@@ -12,7 +12,6 @@ import modules.sd_models as sd_models
import modules.sd_vae as sd_vae
import modules.taesd.sd_vae_taesd as sd_vae_taesd
import modules.images as images
from modules.lora_diffusers import lora_state, unload_diffusers_lora
from modules.processing import StableDiffusionProcessing
import modules.prompt_parser_diffusers as prompt_parser_diffusers
@@ -326,12 +325,8 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
if len(getattr(p, 'init_images', [])) > 0:
while len(p.init_images) < len(prompts):
p.init_images.append(p.init_images[-1])
if lora_state['active']:
cross_attention_kwargs['scale'] = lora_state['multiplier']
if shared.state.interrupted or shared.state.skipped:
if lora_state['active']:
unload_diffusers_lora()
return results
if shared.opts.diffusers_move_base and not getattr(shared.sd_model, 'has_accelerate', False):
@@ -382,8 +377,6 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
p.extra_generation_params['Embeddings'] = ', '.join(shared.sd_model.embedding_db.embeddings_used)
if shared.state.interrupted or shared.state.skipped:
if lora_state['active']:
unload_diffusers_lora()
return results
# optional hires pass
@@ -426,10 +419,6 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
except AssertionError as e:
shared.log.info(e)
if lora_state['active']:
p.extra_generation_params['LoRA method'] = shared.opts.diffusers_lora_loader
unload_diffusers_lora()
# optional refiner pass or decode
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'):
@@ -446,8 +435,6 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
sd_samplers.create_sampler(sampler.name, shared.sd_refiner) # TODO(Patrick): For wrapped pipelines this is currently a no-op
if shared.state.interrupted or shared.state.skipped:
if lora_state['active']:
unload_diffusers_lora()
return results
if shared.opts.diffusers_move_refiner and not getattr(shared.sd_refiner, 'has_accelerate', False):