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https://github.com/openvinotoolkit/stable-diffusion-webui.git
synced 2024-12-15 07:03:06 +03:00
Fix incorrect sampler name in output
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122d42687b
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03e570886f
@ -1,3 +1,4 @@
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import json
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import math
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import os
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@ -46,6 +47,12 @@ def apply_color_correction(correction, image):
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return image
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def get_correct_sampler(p):
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if isinstance(p, modules.processing.StableDiffusionProcessingTxt2Img):
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return sd_samplers.samplers
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elif isinstance(p, modules.processing.StableDiffusionProcessingImg2Img):
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return sd_samplers.samplers_for_img2img
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class StableDiffusionProcessing:
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def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt="", styles=None, seed=-1, subseed=-1, subseed_strength=0, seed_resize_from_h=-1, seed_resize_from_w=-1, seed_enable_extras=True, sampler_index=0, batch_size=1, n_iter=1, steps=50, cfg_scale=7.0, width=512, height=512, restore_faces=False, tiling=False, do_not_save_samples=False, do_not_save_grid=False, extra_generation_params=None, overlay_images=None, negative_prompt=None, eta=None):
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self.sd_model = sd_model
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@ -272,7 +279,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
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generation_params = {
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"Steps": p.steps,
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"Sampler": sd_samplers.samplers[p.sampler_index].name,
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"Sampler": get_correct_sampler(p)[p.sampler_index].name,
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"CFG scale": p.cfg_scale,
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"Seed": all_seeds[index],
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"Face restoration": (opts.face_restoration_model if p.restore_faces else None),
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@ -11,7 +11,7 @@ import modules.scripts as scripts
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import gradio as gr
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from modules import images
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from modules.processing import process_images, Processed
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from modules.processing import process_images, Processed, get_correct_sampler
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from modules.shared import opts, cmd_opts, state
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import modules.shared as shared
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import modules.sd_samplers
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@ -56,15 +56,17 @@ def apply_order(p, x, xs):
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p.prompt = prompt_tmp + p.prompt
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def build_samplers_dict(p):
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samplers_dict = {}
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for i, sampler in enumerate(modules.sd_samplers.samplers):
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for i, sampler in enumerate(get_correct_sampler(p)):
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samplers_dict[sampler.name.lower()] = i
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for alias in sampler.aliases:
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samplers_dict[alias.lower()] = i
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return samplers_dict
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def apply_sampler(p, x, xs):
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sampler_index = samplers_dict.get(x.lower(), None)
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sampler_index = build_samplers_dict(p).get(x.lower(), None)
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if sampler_index is None:
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raise RuntimeError(f"Unknown sampler: {x}")
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