lllyasviel/stable-diffusion-webui-forge
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Text Processing Engine is Finished

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100% reproduce all previous results, including TI embeddings, LoRAs in CLIP, emphasize settings, BREAK, timestep swap scheduling, AB mixture, advanced uncond, etc
Backend is 85% finished
This commit is contained in:
layerdiffusion
2024-08-04 14:13:37 -07:00
parent 2791203d5b
commit a72154405e
8 changed files with 123 additions and 90 deletions
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12
modules/processing.py
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@@ -498,8 +498,14 @@ class StableDiffusionProcessing:
with devices.autocast():
cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
import backend.text_processing.classic_engine
last_extra_generation_params = backend.text_processing.classic_engine.last_extra_generation_params.copy()
modules.sd_hijack.model_hijack.extra_generation_params.update(last_extra_generation_params)
if len(cache) > 2:
cache[2] = modules.sd_hijack.model_hijack.extra_generation_params
cache[2] = last_extra_generation_params
cache[0] = cached_params
return cache[1]
@@ -880,7 +886,9 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:
model_hijack.embedding_db.load_textual_inversion_embeddings()
# todo: reload ti
# model_hijack.embedding_db.load_textual_inversion_embeddings()
pass
if p.scripts is not None:
p.scripts.process(p)