54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import os.path
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import comfy.model_management
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NODE_FILE = os.path.abspath(__file__)
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DISCO_DIFFUSION_ROOT = os.path.dirname(NODE_FILE)
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import sys
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sys.path.append(os.path.join(DISCO_DIFFUSION_ROOT, "CLIP"))
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sys.path.append(os.path.join(DISCO_DIFFUSION_ROOT, "MiDaS"))
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sys.path.append(os.path.join(DISCO_DIFFUSION_ROOT, "ResizeRight"))
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sys.path.append(os.path.join(DISCO_DIFFUSION_ROOT, "guided-diffusion"))
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sys.path.append(os.path.join(DISCO_DIFFUSION_ROOT, "RAFT/core"))
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from .CLIP import clip
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from .settings import DiscoDiffusionSettings
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from .model_settings import ModelSettings
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from .diffuse import diffuse
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class DiscoDiffusion:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {"text": ("STRING", {"multiline": True}),
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"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
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}}
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RETURN_TYPES = ()
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FUNCTION = "generate"
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CATEGORY = "sampling"
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OUTPUT_NODE = True
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def __init__(self):
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self.settings = DiscoDiffusionSettings()
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self.model_settings = ModelSettings()
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self.settings.setup(self.model_settings)
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self.model_settings.setup(self.settings)
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def generate(self, text, seed):
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device = comfy.model_management.get_torch_device()
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clip_model = clip.load('ViT-B/32', jit=False)[0].eval().requires_grad_(False).to(device)
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diffuse(clip_model, clip_model, self.settings, 0)
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return { "ui": { "images": {} } }
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NODE_CLASS_MAPPINGS = {
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"ComfyUI_DiscoDiffusion": DiscoDiffusion,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ComfyUI_DiscoDiffusion": "Disco Diffusion",
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}
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