mirror of
https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-01-26 10:59:47 +00:00
62 lines
1.5 KiB
Python
62 lines
1.5 KiB
Python
import torch
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class ForgeObjects:
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def __init__(self, unet, clip, vae, clipvision):
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self.unet = unet
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self.clip = clip
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self.vae = vae
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self.clipvision = clipvision
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def shallow_copy(self):
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return ForgeObjects(
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self.unet,
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self.clip,
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self.vae,
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self.clipvision
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)
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class ForgeDiffusionEngine:
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matched_guesses = []
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def __init__(self, estimated_config, huggingface_components):
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self.model_config = estimated_config
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self.is_inpaint = estimated_config.inpaint_model()
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self.forge_objects = None
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self.forge_objects_original = None
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self.forge_objects_after_applying_lora = None
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self.current_lora_hash = str([])
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self.tiling_enabled = False
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self.first_stage_model = None # set this so that you can change VAE in UI
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# WebUI Dirty Legacy
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self.latent_channels = 4
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self.is_sd1 = False
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self.is_sd2 = False
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self.is_sdxl = False
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self.is_sd3 = False
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self.parameterization = 'eps'
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self.alphas_cumprod = None
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def set_clip_skip(self, clip_skip):
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pass
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def get_first_stage_encoding(self, x):
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return x # legacy code, do not change
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def get_learned_conditioning(self, prompt: list[str]):
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pass
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def encode_first_stage(self, x):
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pass
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def decode_first_stage(self, x):
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pass
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def get_prompt_lengths_on_ui(self, prompt):
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pass
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