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extra networks UI

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rework of hypernets: rather than via settings, hypernets are added directly to prompt as <hypernet:name:weight>
This commit is contained in:
AUTOMATIC
2023-01-21 08:36:07 +03:00
parent e33cace2c2
commit 40ff6db532
25 changed files with 767 additions and 216 deletions
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24
modules/processing.py
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@@ -13,7 +13,7 @@ from skimage import exposure
from typing import Any, Dict, List, Optional
import modules.sd_hijack
from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks
from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks
from modules.sd_hijack import model_hijack
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
@@ -438,9 +438,6 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
"Size": f"{p.width}x{p.height}",
"Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
"Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
"Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
"Hypernet hash": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.shorthash()),
"Hypernet strength": (None if shared.loaded_hypernetwork is None or shared.opts.sd_hypernetwork_strength >= 1 else shared.opts.sd_hypernetwork_strength),
"Batch size": (None if p.batch_size < 2 else p.batch_size),
"Batch pos": (None if p.batch_size < 2 else position_in_batch),
"Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),
@@ -468,14 +465,12 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
try:
for k, v in p.override_settings.items():
setattr(opts, k, v)
if k == 'sd_hypernetwork':
shared.reload_hypernetworks() # make onchange call for changing hypernet
if k == 'sd_model_checkpoint':
sd_models.reload_model_weights() # make onchange call for changing SD model
sd_models.reload_model_weights()
if k == 'sd_vae':
sd_vae.reload_vae_weights() # make onchange call for changing VAE
sd_vae.reload_vae_weights()
res = process_images_inner(p)
@@ -484,9 +479,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if p.override_settings_restore_afterwards:
for k, v in stored_opts.items():
setattr(opts, k, v)
if k == 'sd_hypernetwork': shared.reload_hypernetworks()
if k == 'sd_model_checkpoint': sd_models.reload_model_weights()
if k == 'sd_vae': sd_vae.reload_vae_weights()
if k == 'sd_model_checkpoint':
sd_models.reload_model_weights()
if k == 'sd_vae':
sd_vae.reload_vae_weights()
return res
@@ -564,10 +561,14 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
cache[0] = (required_prompts, steps)
return cache[1]
p.all_prompts, extra_network_data = extra_networks.parse_prompts(p.all_prompts)
with torch.no_grad(), p.sd_model.ema_scope():
with devices.autocast():
p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
extra_networks.activate(p, extra_network_data)
with open(os.path.join(shared.script_path, "params.txt"), "w", encoding="utf8") as file:
processed = Processed(p, [], p.seed, "")
file.write(processed.infotext(p, 0))
@@ -681,6 +682,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
if opts.grid_save:
images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
extra_networks.deactivate(p, extra_network_data)
devices.torch_gc()
res = Processed(p, output_images, p.all_seeds[0], infotext(), comments="".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], index_of_first_image=index_of_first_image, infotexts=infotexts)