| import torch |
| from nodes import MAX_RESOLUTION |
|
|
| class CLIPTextEncodeSDXLRefiner: |
| @classmethod |
| def INPUT_TYPES(s): |
| return {"required": { |
| "ascore": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}), |
| "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "text": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ), |
| }} |
| RETURN_TYPES = ("CONDITIONING",) |
| FUNCTION = "encode" |
|
|
| CATEGORY = "advanced/conditioning" |
|
|
| def encode(self, clip, ascore, width, height, text): |
| tokens = clip.tokenize(text) |
| cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True) |
| return ([[cond, {"pooled_output": pooled, "aesthetic_score": ascore, "width": width,"height": height}]], ) |
|
|
| class CLIPTextEncodeSDXL: |
| @classmethod |
| def INPUT_TYPES(s): |
| return {"required": { |
| "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "crop_w": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}), |
| "crop_h": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}), |
| "target_width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "target_height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), |
| "text_g": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ), |
| "text_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ), |
| }} |
| RETURN_TYPES = ("CONDITIONING",) |
| FUNCTION = "encode" |
|
|
| CATEGORY = "advanced/conditioning" |
|
|
| def encode(self, clip, width, height, crop_w, crop_h, target_width, target_height, text_g, text_l): |
| tokens = clip.tokenize(text_g) |
| tokens["l"] = clip.tokenize(text_l)["l"] |
| if len(tokens["l"]) != len(tokens["g"]): |
| empty = clip.tokenize("") |
| while len(tokens["l"]) < len(tokens["g"]): |
| tokens["l"] += empty["l"] |
| while len(tokens["l"]) > len(tokens["g"]): |
| tokens["g"] += empty["g"] |
| cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True) |
| return ([[cond, {"pooled_output": pooled, "width": width, "height": height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}]], ) |
|
|
| NODE_CLASS_MAPPINGS = { |
| "CLIPTextEncodeSDXLRefiner": CLIPTextEncodeSDXLRefiner, |
| "CLIPTextEncodeSDXL": CLIPTextEncodeSDXL, |
| } |
|
|
