Delete extensions-builtin/forge_preprocessor_revision

extensions-builtin/forge_preprocessor_revision/scripts/preprocessor_revision.py

@@ -1,103 +0,0 @@
-import torch
-import copy
-
-from modules_forge.supported_preprocessor import PreprocessorClipVision, PreprocessorParameter
-from modules_forge.shared import add_supported_preprocessor
-
-
-def revision_conditioning_modifier(model, x, timestep, uncond, cond, cond_scale, model_options, seed):
-    revision_conditions = model_options['revision_conditions']
-    noise_augmentor = model.noise_augmentor
-    noise_augment_merge = 0.0
-    ignore_prompt = False
-
-    adm_inputs = []
-    weights = []
-    noise_aug = []
-    for revision_condition in revision_conditions:
-        adm_cond = revision_condition['cond'].image_embeds
-        weight = revision_condition["weight"]
-        noise_augment = revision_condition["noise_aug"]
-        noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment)
-        c_adm, noise_level_emb = noise_augmentor(adm_cond.to(x.device),
-                                                 noise_level=torch.tensor([noise_level], device=x.device), seed=seed)
-        adm_out = torch.cat((c_adm, noise_level_emb), 1) * weight
-        weights.append(weight)
-        noise_aug.append(noise_augment)
-        adm_inputs.append(adm_out)
-        if revision_condition["ignore_prompt"]:
-            ignore_prompt = True
-
-    if len(noise_aug) > 1:
-        adm_out = torch.stack(adm_inputs).sum(0)
-        noise_augment = noise_augment_merge
-        noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment)
-        c_adm, noise_level_emb = noise_augmentor(adm_out[:, :noise_augmentor.time_embed.dim],
-                                                 noise_level=torch.tensor([noise_level], device=x.device))
-        adm_out = torch.cat((c_adm, noise_level_emb), 1)
-
-    new_y = adm_out[:, :1280]
-    cond = copy.deepcopy(cond)
-    uncond = copy.deepcopy(uncond)
-
-    for c in cond:
-        c['model_conds']['y'].cond[:, :1280] = new_y.clone()
-
-    for c in uncond:
-        c['model_conds']['y'].cond[:, :1280] = torch.zeros_like(new_y)
-
-    if ignore_prompt:
-        for c in cond + uncond:
-            c['model_conds']['c_crossattn'].cond = torch.zeros_like(c['model_conds']['c_crossattn'].cond)
-
-    return model, x, timestep, uncond, cond, cond_scale, model_options, seed
-
-
-class PreprocessorClipVisionForRevision(PreprocessorClipVision):
-    def __init__(self, name, url, filename, ignore_prompt=False):
-        super().__init__(name, url, filename)
-        self.tags = ['Revision']
-        self.model_filename_filters = ['Revision']
-        self.do_not_need_model = True
-        self.ignore_prompt = ignore_prompt
-        self.slider_1 = PreprocessorParameter(
-            label="Noise Augmentation", minimum=0.0, maximum=1.0, value=0.0, visible=True)
-
-    def process_before_every_sampling(self, process, cond, mask, *args, **kwargs):
-        unit = kwargs['unit']
-
-        weight = float(unit.weight)
-        noise_aug = float(unit.threshold_a)
-
-        unet = process.sd_model.forge_objects.unet.clone()
-
-        if 'revision_conditions' not in unet.model_options:
-            unet.model_options['revision_conditions'] = []
-
-        unet.model_options['revision_conditions'].append(dict(
-            cond=cond,
-            weight=weight,
-            noise_aug=noise_aug,
-            ignore_prompt=self.ignore_prompt
-        ))
-
-        unet.add_conditioning_modifier(revision_conditioning_modifier, ensure_uniqueness=True)
-
-        process.sd_model.forge_objects.unet = unet
-
-        return cond, mask
-
-
-add_supported_preprocessor(PreprocessorClipVisionForRevision(
-    name='CLIP-G (Revision)',
-    url='https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors',
-    filename='CLIP-ViT-bigG.safetensors',
-    ignore_prompt=False
-))
-
-add_supported_preprocessor(PreprocessorClipVisionForRevision(
-    name='CLIP-G (Revision ignore prompt)',
-    url='https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors',
-    filename='CLIP-ViT-bigG.safetensors',
-    ignore_prompt=True
-))