From 3608dd57681368cb47cf81ef1d0a52257fddfdbb Mon Sep 17 00:00:00 2001 From: tazlin Date: Tue, 5 Sep 2023 21:25:05 -0400 Subject: [PATCH 1/5] fix: inject negative embeddings correctly also reworks test to confirm this behavior --- hordelib/horde.py | 29 ++++++---- images_expected/ti_bad_inject.png | Bin 0 -> 463190 bytes images_expected/ti_basic.png | Bin 0 -> 463190 bytes images_expected/ti_inject.png | Bin 0 -> 463190 bytes tests/test_horde_ti.py | 89 +++++++++++++++++++----------- 5 files changed, 76 insertions(+), 42 deletions(-) create mode 100644 images_expected/ti_bad_inject.png create mode 100644 images_expected/ti_basic.png create mode 100644 images_expected/ti_inject.png diff --git a/hordelib/horde.py b/hordelib/horde.py index 6e028023..8f1cf6d2 100644 --- a/hordelib/horde.py +++ b/hordelib/horde.py @@ -270,7 +270,6 @@ def _apply_aihorde_compatibility_hacks(self, payload): return payload def _final_pipeline_adjustments(self, payload, pipeline_data): - payload = deepcopy(payload) # Process dynamic prompts @@ -308,23 +307,31 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): continue ti_inject = ti.get("inject_ti") ti_strength = ti.get("strength", 1.0) + try: + ti_strength = float(ti_strength) + except (TypeError, ValueError): + ti_strength = 1.0 if type(ti_strength) not in [float, int]: ti_strength = 1.0 ti_id = SharedModelManager.manager.ti.get_ti_id(str(ti["name"])) if ti_inject == "prompt": payload["prompt"] = f'(embedding:{ti_id}:{ti_strength}),{payload["prompt"]}' elif ti_inject == "negprompt": - if "###" not in payload["prompt"]: - payload["prompt"] += "###" - payload["prompt"] = f'{payload["prompt"]},(embedding:{ti_id}:{ti_strength})' - SharedModelManager.manager.ti.touch_ti(ti_name) + # create negative prompt if empty + if "negative_prompt" not in payload: + payload["negative_prompt"] = "" + + had_leading_comma = payload["negative_prompt"].startswith(",") + + payload["negative_prompt"] = f'{payload["negative_prompt"]},(embedding:{ti_id}:{ti_strength})' + if not had_leading_comma: + payload["negative_prompt"] = payload["negative_prompt"].strip(",") # Setup controlnet if required # For LORAs we completely build the LORA section of the pipeline dynamically, as we have # to handle n LORA models which form chained nodes in the pipeline. # Note that we build this between several nodes, the model_loader, clip_skip and the sampler, # plus the upscale sampler (used in hires fix) if there is one if payload.get("loras") and SharedModelManager.manager.lora: - # Remove any requested LORAs that we don't have valid_loras = [] for lora in payload.get("loras"): @@ -366,7 +373,6 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): valid_loras.append(lora) payload["loras"] = valid_loras for lora_index, lora in enumerate(payload.get("loras")): - # Inject a lora node (first lora) if lora_index == 0: pipeline_data[f"lora_{lora_index}"] = { @@ -395,7 +401,6 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): } for lora_index, lora in enumerate(payload.get("loras")): - # The first LORA always connects to the model loader if lora_index == 0: self.generator.reconnect_input(pipeline_data, "lora_0.model", "model_loader") @@ -545,18 +550,20 @@ def unlock_models(self, models): self.generator.unlock_models(models) logger.debug(f"Unlocked models {','.join(models)}") - def basic_inference(self, payload, rawpng=False): + def _get_validated_payload_and_pipeline_data(self, payload) -> tuple[dict, dict]: # AIHorde hacks to payload payload = self._apply_aihorde_compatibility_hacks(payload) # Check payload types/values and normalise it's format payload = self._validate_data_structure(payload) - # Resize the source image and mask to actual final width/height requested - ImageUtils.resize_sources_to_request(payload) # Determine the correct pipeline to use pipeline = self._get_appropriate_pipeline(payload) # Final adjustments to the pipeline pipeline_data = self.generator.get_pipeline_data(pipeline) payload = self._final_pipeline_adjustments(payload, pipeline_data) + return payload, pipeline_data + + def basic_inference(self, payload, rawpng=False): + payload, pipeline_data = self._get_validated_payload_and_pipeline_data(payload) models: list[str] = [] # Run the pipeline try: diff --git a/images_expected/ti_bad_inject.png b/images_expected/ti_bad_inject.png new file mode 100644 index 0000000000000000000000000000000000000000..cb0e01701ab4ab4f5d0aa46ad9dc341bd5919c78 GIT binary patch literal 463190 zcmV)IK)k<+P)hk8*v)3M%ncGF^Lz;7L_vo(fdiR{0xoz%W{Nfj} zcVgVUmqY}S1OQP00R#mA0RTV%0I>ZR5r?k;L;z7h0J^W+OA!F1{~bYC000OH00@Pn zZ<veT;wpku8 z&L8cSqxs>XfI5485fwam^iYJxMJDTIZtUKbD_J?Z*sMRe_h`MSjMd|^oXzGMF?cuG z-=AK)bK(8*!$+IVf{d_dOnz@ZOP)jBlw}?o2TJGDX;~JHTc_Z(!dN%H+8`+sZ0b6? zWQ`#-Nq98dE6QlTr};D=ml+Epu^AP1 z|LV0DUc7eq#bPu)dGPS`{RhqQ19lg&u7zVrqI8CoZEEiuM-=ww<(=nVV6+!c&d=8C zM~@$@mS;t#?p(k1{D(g_noce*7BxrKCi$on>=pTZG(nK{dVNuCPEU`ki(?FaHk;3m 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-from datetime import datetime, timedelta from pathlib import Path - import pytest -from PIL import Image + from hordelib.horde import HordeLib from hordelib.shared_model_manager import SharedModelManager +from .testing_shared_functions import check_single_lora_image_similarity + class TestHordeTI: - def test_basic_ti( + @pytest.fixture(scope="class") + def basic_ti_payload_data( self, - shared_model_manager: type[SharedModelManager], - hordelib_instance: HordeLib, stable_diffusion_model_name_for_testing: str, - ): - assert shared_model_manager.manager.ti - - data = { + ) -> dict: + return { "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1312, + "seed": 1313, "height": 512, "width": 512, "karras": False, @@ -33,9 +30,9 @@ def test_basic_ti( "control_type": None, "image_is_control": False, "return_control_map": False, - "prompt": "Closeup portrait of a Lesotho teenage girl wearing a Seanamarena blanket, " + "prompt": "(embedding:7523:1.0),Closeup portrait of a Lesotho teenage girl wearing a Seanamarena blanket, " "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " - "atmospheric lighting, embedding:7523###(embedding:7808:0.5), embedding:64870", + "atmospheric lighting###(embedding:7808:0.5),(embedding:64870:1.0)", "tis": [ {"name": 7523}, {"name": 7808}, @@ -46,7 +43,15 @@ def test_basic_ti( "model": stable_diffusion_model_name_for_testing, } - pil_image = hordelib_instance.basic_inference(data) + def test_basic_ti( + self, + shared_model_manager: type[SharedModelManager], + hordelib_instance: HordeLib, + basic_ti_payload_data, + ): + assert shared_model_manager.manager.ti + + pil_image = hordelib_instance.basic_inference(basic_ti_payload_data) assert pil_image is not None assert ( Path(os.path.join(shared_model_manager.manager.ti.modelFolderPath, "64870.safetensors")).exists() is True @@ -57,15 +62,15 @@ def test_basic_ti( def test_inject_ti( self, - shared_model_manager: type[SharedModelManager], hordelib_instance: HordeLib, stable_diffusion_model_name_for_testing: str, + basic_ti_payload_data: dict, ): data = { "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1312, + "seed": 1313, "height": 512, "width": 512, "karras": False, @@ -79,29 +84,41 @@ def test_inject_ti( "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " "atmospheric lighting", "tis": [ - {"name": 7523, "inject_ti": "prompt", "strength": 0.5}, + {"name": 7523, "inject_ti": "prompt", "strength": 1.0}, {"name": 7808, "inject_ti": "negprompt", "strength": 0.5}, - {"name": 64870, "inject_ti": "negprompt", "strength": 0.5}, + {"name": 64870, "inject_ti": "negprompt", "strength": 1.0}, ], "ddim_steps": 20, "n_iter": 1, "model": stable_diffusion_model_name_for_testing, } + payload, _ = hordelib_instance._get_validated_payload_and_pipeline_data(data) + + basic_payload, _ = hordelib_instance._get_validated_payload_and_pipeline_data( + basic_ti_payload_data, + ) + + assert payload["prompt.text"] == basic_payload["prompt.text"] + assert payload["negative_prompt.text"] == basic_payload["negative_prompt.text"] + + assert "(embedding:7523:1.0)" in payload["prompt.text"] + assert "(embedding:7808:0.5)" in payload["negative_prompt.text"] + assert "(embedding:64870:1.0)" in payload["negative_prompt.text"] + pil_image = hordelib_instance.basic_inference(data) assert pil_image is not None img_filename = "ti_inject.png" pil_image.save(f"images/{img_filename}", quality=100) - # assert check_single_lora_image_similarity( - # f"images_expected/{img_filename}", - # pil_image, - # ) + assert check_single_lora_image_similarity( + f"images_expected/{img_filename}", + pil_image, + ) def test_bad_inject_ti( self, - shared_model_manager: type[SharedModelManager], hordelib_instance: HordeLib, stable_diffusion_model_name_for_testing: str, ): @@ -109,7 +126,7 @@ def test_bad_inject_ti( "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1312, + "seed": 1313, "height": 512, "width": 512, "karras": False, @@ -123,19 +140,29 @@ def test_bad_inject_ti( "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " "atmospheric lighting", "tis": [ - {"name": 7523, "inject_ti": "prompt", "strength": "0.5"}, - {"name": 7808, "inject_ti": "negprompt", "strength": None}, - {"name": 64870, "inject_ti": "YOLO", "strength": "YOLO"}, + {"name": 7523, "inject_ti": "prompt", "strength": None}, + {"name": 7808, "inject_ti": "negprompt", "strength": "0.5"}, + {"name": 64870, "inject_ti": "negprompt", "strength": "1.0"}, + {"name": 4629, "inject_ti": "YOLO", "strength": "YOLO"}, ], "ddim_steps": 20, "n_iter": 1, "model": stable_diffusion_model_name_for_testing, } + payload, _ = hordelib_instance._get_validated_payload_and_pipeline_data(data) + + assert "(embedding:7523:1.0)" in payload["prompt.text"] + assert "(embedding:7808:0.5)" in payload["negative_prompt.text"] + assert "(embedding:64870:1.0)" in payload["negative_prompt.text"] + pil_image = hordelib_instance.basic_inference(data) assert pil_image is not None - # assert check_single_lora_image_similarity( - # f"images_expected/{img_filename}", - # pil_image, - # ) + img_filename = "ti_bad_inject.png" + pil_image.save(f"images/{img_filename}", quality=100) + + assert check_single_lora_image_similarity( + f"images_expected/{img_filename}", + pil_image, + ) From 8b776cf0a5167ac108163a4649ec38f903ba2856 Mon Sep 17 00:00:00 2001 From: tazlin Date: Tue, 5 Sep 2023 21:29:57 -0400 Subject: [PATCH 2/5] style: fix --- tests/test_horde_ti.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_horde_ti.py b/tests/test_horde_ti.py index 00e6a342..3eced2e3 100644 --- a/tests/test_horde_ti.py +++ b/tests/test_horde_ti.py @@ -1,8 +1,8 @@ # test_horde_ti.py import os from pathlib import Path -import pytest +import pytest from hordelib.horde import HordeLib from hordelib.shared_model_manager import SharedModelManager From 0a08c5e7d9767e4fadeb9cfec589f6f643117a2b Mon Sep 17 00:00:00 2001 From: tazlin Date: Tue, 5 Sep 2023 21:59:35 -0400 Subject: [PATCH 3/5] fix: missing image resize --- hordelib/horde.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/hordelib/horde.py b/hordelib/horde.py index 8f1cf6d2..857d3c65 100644 --- a/hordelib/horde.py +++ b/hordelib/horde.py @@ -555,6 +555,8 @@ def _get_validated_payload_and_pipeline_data(self, payload) -> tuple[dict, dict] payload = self._apply_aihorde_compatibility_hacks(payload) # Check payload types/values and normalise it's format payload = self._validate_data_structure(payload) + # Resize the source image and mask to actual final width/height requested + ImageUtils.resize_sources_to_request(payload) # Determine the correct pipeline to use pipeline = self._get_appropriate_pipeline(payload) # Final adjustments to the pipeline From 850bdd50f277b27d67b56746846eba54316b9acb Mon Sep 17 00:00:00 2001 From: tazlin Date: Wed, 6 Sep 2023 07:34:16 -0400 Subject: [PATCH 4/5] fix: (ti inject) don't strip pre-existing trailing comma from neg prompt --- hordelib/horde.py | 2 +- tests/test_horde_ti.py | 12 ++++++------ 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/hordelib/horde.py b/hordelib/horde.py index 857d3c65..8e7f2e78 100644 --- a/hordelib/horde.py +++ b/hordelib/horde.py @@ -325,7 +325,7 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): payload["negative_prompt"] = f'{payload["negative_prompt"]},(embedding:{ti_id}:{ti_strength})' if not had_leading_comma: - payload["negative_prompt"] = payload["negative_prompt"].strip(",") + payload["negative_prompt"] = payload["negative_prompt"].lstrip(",") # Setup controlnet if required # For LORAs we completely build the LORA section of the pipeline dynamically, as we have # to handle n LORA models which form chained nodes in the pipeline. diff --git a/tests/test_horde_ti.py b/tests/test_horde_ti.py index 3eced2e3..48229e8f 100644 --- a/tests/test_horde_ti.py +++ b/tests/test_horde_ti.py @@ -20,7 +20,7 @@ def basic_ti_payload_data( "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1313, + "seed": 1312, "height": 512, "width": 512, "karras": False, @@ -31,7 +31,7 @@ def basic_ti_payload_data( "image_is_control": False, "return_control_map": False, "prompt": "(embedding:7523:1.0),Closeup portrait of a Lesotho teenage girl wearing a Seanamarena blanket, " - "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " + "walking in a field of flowers, (holding a bundle of flowers:1.2), detailed background, light rays, " "atmospheric lighting###(embedding:7808:0.5),(embedding:64870:1.0)", "tis": [ {"name": 7523}, @@ -70,7 +70,7 @@ def test_inject_ti( "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1313, + "seed": 1312, "height": 512, "width": 512, "karras": False, @@ -81,7 +81,7 @@ def test_inject_ti( "image_is_control": False, "return_control_map": False, "prompt": "Closeup portrait of a Lesotho teenage girl wearing a Seanamarena blanket, " - "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " + "walking in a field of flowers, (holding a bundle of flowers:1.2), detailed background, light rays, " "atmospheric lighting", "tis": [ {"name": 7523, "inject_ti": "prompt", "strength": 1.0}, @@ -126,7 +126,7 @@ def test_bad_inject_ti( "sampler_name": "k_euler", "cfg_scale": 8.0, "denoising_strength": 1.0, - "seed": 1313, + "seed": 1312, "height": 512, "width": 512, "karras": False, @@ -137,7 +137,7 @@ def test_bad_inject_ti( "image_is_control": False, "return_control_map": False, "prompt": "Closeup portrait of a Lesotho teenage girl wearing a Seanamarena blanket, " - "walking in a field of flowers, holding a bundle of flowers, detailed background, light rays, " + "walking in a field of flowers, (holding a bundle of flowers:1.2), detailed background, light rays, " "atmospheric lighting", "tis": [ {"name": 7523, "inject_ti": "prompt", "strength": None}, From e7fe3e0f36b4b1399f4301492f16f1f994dd5d48 Mon Sep 17 00:00:00 2001 From: tazlin Date: Wed, 6 Sep 2023 07:59:42 -0400 Subject: [PATCH 5/5] fix: use correct ti images_expected --- images_expected/ti_bad_inject.png | Bin 463190 -> 475715 bytes images_expected/ti_basic.png | Bin 463190 -> 475715 bytes images_expected/ti_inject.png | Bin 463190 -> 475715 bytes 3 files changed, 0 insertions(+), 0 deletions(-) diff --git a/images_expected/ti_bad_inject.png b/images_expected/ti_bad_inject.png index cb0e01701ab4ab4f5d0aa46ad9dc341bd5919c78..3e5d5b4a9f32c953690be94e1852a86aafbba7d2 100644 GIT binary patch literal 475715 zcmV)JK)b(*P)ZPYenq6&v56PbJjff#2$g}LO0j|F*E>SASDz2D4U`rN;duZv#b{n4}SBD z-|PoJSh8eE{A>dh2Z$zN86;+aK!e>tb$4}l%~hFMIo_LhKI7gI>-R%M>~j)SHBgm# 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