mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2026-02-10 10:00:15 +00:00
Merge branch 'dev' into gradio4
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@@ -43,7 +43,7 @@ def script_name_to_index(name, scripts):
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def validate_sampler_name(name):
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config = sd_samplers.all_samplers_map.get(name, None)
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if config is None:
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raise HTTPException(status_code=404, detail="Sampler not found")
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raise HTTPException(status_code=400, detail="Sampler not found")
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return name
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@@ -113,7 +113,7 @@ def encode_pil_to_base64(image):
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image.save(output_bytes, format="PNG", pnginfo=(metadata if use_metadata else None), quality=opts.jpeg_quality)
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elif opts.samples_format.lower() in ("jpg", "jpeg", "webp"):
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if image.mode == "RGBA":
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if image.mode in ("RGBA", "P"):
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image = image.convert("RGB")
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parameters = image.info.get('parameters', None)
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exif_bytes = piexif.dump({
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@@ -372,7 +372,7 @@ class Api:
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return {}
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possible_fields = infotext_utils.paste_fields[tabname]["fields"]
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set_fields = request.model_dump(exclude_unset=True) if hasattr(request, "request") else request.dict(exclude_unset=True) # pydantic v1/v2 have differenrt names for this
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set_fields = request.model_dump(exclude_unset=True) if hasattr(request, "request") else request.dict(exclude_unset=True) # pydantic v1/v2 have different names for this
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params = infotext_utils.parse_generation_parameters(request.infotext)
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def get_field_value(field, params):
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@@ -438,15 +438,19 @@ class Api:
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self.apply_infotext(txt2imgreq, "txt2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
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selectable_scripts, selectable_script_idx = self.get_selectable_script(txt2imgreq.script_name, script_runner)
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sampler, scheduler = sd_samplers.get_sampler_and_scheduler(txt2imgreq.sampler_name or txt2imgreq.sampler_index, txt2imgreq.scheduler)
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populate = txt2imgreq.copy(update={ # Override __init__ params
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"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
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"sampler_name": validate_sampler_name(sampler),
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"do_not_save_samples": not txt2imgreq.save_images,
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"do_not_save_grid": not txt2imgreq.save_images,
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})
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if populate.sampler_name:
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populate.sampler_index = None # prevent a warning later on
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if not populate.scheduler and scheduler != "Automatic":
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populate.scheduler = scheduler
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args = vars(populate)
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args.pop('script_name', None)
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args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
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@@ -502,9 +506,10 @@ class Api:
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self.apply_infotext(img2imgreq, "img2img", script_runner=script_runner, mentioned_script_args=infotext_script_args)
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selectable_scripts, selectable_script_idx = self.get_selectable_script(img2imgreq.script_name, script_runner)
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sampler, scheduler = sd_samplers.get_sampler_and_scheduler(img2imgreq.sampler_name or img2imgreq.sampler_index, img2imgreq.scheduler)
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populate = img2imgreq.copy(update={ # Override __init__ params
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"sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
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"sampler_name": validate_sampler_name(sampler),
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"do_not_save_samples": not img2imgreq.save_images,
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"do_not_save_grid": not img2imgreq.save_images,
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"mask": mask,
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@@ -512,6 +517,9 @@ class Api:
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if populate.sampler_name:
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populate.sampler_index = None # prevent a warning later on
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if not populate.scheduler and scheduler != "Automatic":
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populate.scheduler = scheduler
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args = vars(populate)
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args.pop('include_init_images', None) # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
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args.pop('script_name', None)
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