new nodes and fixes
This commit is contained in:
chibiace
+232
-5
@@ -2,11 +2,23 @@ import torch
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import folder_paths
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import comfy.sd
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import comfy.utils
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from comfy.cli_args import args
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from PIL import Image, ImageOps
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from PIL.PngImagePlugin import PngInfo
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import numpy as np
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import random
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import os
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import time
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import json
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### GLOBALS ###
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MAX_RESOLUTION=32768
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base_path = os.path.dirname(os.path.realpath(__file__))
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models_dir = os.path.join(base_path, "extras")
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folder_paths.folder_names_and_paths["chibi-wildcards"] = ([os.path.join(models_dir, "chibi-wildcards")], {".txt"})
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class Loader:
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@@ -31,15 +43,17 @@ class Loader:
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def loader(self, Checkpoint,Vae,stop_at_clip_layer,width,height,batch_size):
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ckpt_path = folder_paths.get_full_path("checkpoints", Checkpoint)
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output_vae = False
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if Vae == "Included":
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output_vae = True
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ckpt = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=output_vae, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
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if Vae == "Included":
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vae = ckpt[:3][2]
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else:
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vae_path = folder_paths.get_full_path("vae", Vae)
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vae = comfy.sd.VAE(ckpt_path=vae_path)
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vae = comfy.sd.VAE(sd=comfy.utils.load_torch_file(vae_path))
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clip = ckpt[:3][1].clone()
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clip.clip_layer(stop_at_clip_layer)
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@@ -65,8 +79,8 @@ class Prompts:
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},
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}
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RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
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RETURN_NAMES = ("Positive Conditioning", "Negative Conditioning")
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RETURN_TYPES = ("CONDITIONING","CONDITIONING","CLIP","TEXT","TEXT")
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RETURN_NAMES = ("Positive Conditioning", "Negative Conditioning", "CLIP", "Positive Text", "Negative Text")
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FUNCTION = "prompts"
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CATEGORY = "Chibi-Nodes"
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@@ -76,7 +90,7 @@ class Prompts:
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pos_cond, pos_pooled = clip.encode_from_tokens(pos_cond_raw, return_pooled=True)
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neg_cond, neg_pooled = clip.encode_from_tokens(neg_cond_raw, return_pooled=True)
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return ([[pos_cond, {"pooled_output": pos_pooled}]],[[neg_cond, {"pooled_output": neg_pooled}]],)
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return ([[pos_cond, {"pooled_output": pos_pooled}]],[[neg_cond, {"pooled_output": neg_pooled}]],clip,Positive,Negative)
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class ImageTool:
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def __init__(self):
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@@ -127,11 +141,224 @@ class ImageTool:
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image = torch.from_numpy(image)[None,]
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return(image,)
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class Wildcards:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required":{
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"clip": ("CLIP",),
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"textfile" : [sorted(folder_paths.get_filename_list("chibi-wildcards"))],
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"keyword":("STRING", {"default": "__wildcard__","multiline": False}),
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},
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"optional":{
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"text" : ("TEXT",),
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},
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}
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RETURN_TYPES = ("CONDITIONING","TEXT",)
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FUNCTION = "wildcards"
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CATEGORY = "Chibi-Nodes"
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seed = random.seed()
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def IS_CHANGED(s,seed):
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seed = random.seed()
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def wildcards(self, textfile,keyword,clip,text=None,):
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with open(folder_paths.get_full_path("chibi-wildcards", textfile)) as f:
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lines = f.readlines()
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aline = random.choice(lines)
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if text != None:
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raw = text.replace(keyword,aline)
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cond_raw = clip.tokenize(raw)
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cond, pooled = clip.encode_from_tokens(cond_raw, return_pooled=True)
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return([[cond, {"pooled_output": pooled}]],raw,)
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else:
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cond_raw = clip.tokenize(aline)
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cond, pooled = clip.encode_from_tokens(cond_raw, return_pooled=True)
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return([[cond, {"pooled_output": pooled}]],aline,)
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class LoadEmbedding:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return{"required":{
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"text" : ("TEXT",),
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"embedding":[sorted(folder_paths.get_filename_list("embeddings"))],
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"weight": ("FLOAT", {"default": 1.0, "min": -2, "max": 2, "step": 0.1, "round": 0.01}),
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}}
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RETURN_TYPES = ("TEXT",)
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FUNCTION = "loadembedding"
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CATEGORY = "Chibi-Nodes"
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def loadembedding(self, text, embedding,weight):
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output = text + ", (embedding:" + embedding + ":" + str(weight) + ")"
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# embedding.rsplit('.', maxsplit=1)[0]
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return(output,)
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class ConditionText:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"clip": ("CLIP",),
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},
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"optional":{
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"first" : ("TEXT",),
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"second" : ("TEXT",),
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"third" : ("TEXT",),
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"fourth" : ("TEXT",),
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}
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}
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RETURN_TYPES = ("CLIP","CONDITIONING","CONDITIONING","CONDITIONING","CONDITIONING",)
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RETURN_NAMES = ("CLIP","first","second","third","fourth",)
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FUNCTION = "conditiontext"
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CATEGORY = "Chibi-Nodes"
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def conditiontext(self, clip, first=None, second=None, third=None, fourth=None, ):
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emptystring = ""
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returnedcond = []
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if first != None:
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firstraw = clip.tokenize(first)
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first_cond, first_pooled = clip.encode_from_tokens(firstraw, return_pooled=True)
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returnedcond.append([[first_cond, {"pooled_output": first_pooled}]])
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else:
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emptyraw = clip.tokenize(emptystring)
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empty_cond, empty_pooled = clip.encode_from_tokens(emptyraw, return_pooled=True)
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returnedcond.append([[empty_cond, {"pooled_output": empty_pooled}]])
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if second != None:
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secondraw = clip.tokenize(second)
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second_cond, second_pooled = clip.encode_from_tokens(secondraw, return_pooled=True)
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returnedcond.append([[second_cond, {"pooled_output": second_pooled}]])
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else:
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emptyraw = clip.tokenize(emptystring)
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empty_cond, empty_pooled = clip.encode_from_tokens(emptyraw, return_pooled=True)
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returnedcond.append([[empty_cond, {"pooled_output": empty_pooled}]])
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if third != None:
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thirdraw = clip.tokenize(third)
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third_cond, third_pooled = clip.encode_from_tokens(thirdraw, return_pooled=True)
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returnedcond.append([[third_cond, {"pooled_output": third_pooled}]])
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else:
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emptyraw = clip.tokenize(emptystring)
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empty_cond, empty_pooled = clip.encode_from_tokens(emptyraw, return_pooled=True)
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returnedcond.append([[empty_cond, {"pooled_output": empty_pooled}]])
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if fourth != None:
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fourthraw = clip.tokenize(fourth)
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fourth_cond, fourth_pooled = clip.encode_from_tokens(fourthraw, return_pooled=True)
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returnedcond.append([[fourth_cond, {"pooled_output": fourth_pooled}]])
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else:
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emptyraw = clip.tokenize(emptystring)
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empty_cond, empty_pooled = clip.encode_from_tokens(emptyraw, return_pooled=True)
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returnedcond.append([[empty_cond, {"pooled_output": empty_pooled}]])
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return (clip,returnedcond[0],returnedcond[1],returnedcond[2],returnedcond[3],)
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class SaveImages:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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},
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"optional":{
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"images" : ("IMAGE",),
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"latents" : ("LATENT",),
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"vae" : ("VAE",),
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},
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"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
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}
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RETURN_TYPES = ()
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FUNCTION = "saveimage"
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OUTPUT_NODE = True
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CATEGORY = "Chibi-Nodes"
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def saveimage(self,vae=None, latents=None, images=None, prompt=None, extra_pnginfo=None):
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now = str(round(time.time()))
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results = list()
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counter = 0
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if images != None:
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(now, folder_paths.get_output_directory(), images[0].shape[1], images[0].shape[0])
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for image in images:
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i = 255. * image.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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metadata = None
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if not args.disable_metadata:
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metadata = PngInfo()
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if prompt is not None:
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metadata.add_text("prompt", json.dumps(prompt))
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if extra_pnginfo is not None:
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for x in extra_pnginfo:
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metadata.add_text(x, json.dumps(extra_pnginfo[x]))
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file = f"{now}_{counter:03}_.png"
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img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=4)
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results.append({
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"filename": file,
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"subfolder": subfolder,
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"type": "output"
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})
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counter += 1
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if vae != None:
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if latents != None:
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decoded_latents = vae.decode(latents["samples"])
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(now, folder_paths.get_output_directory(), decoded_latents[0].shape[1], decoded_latents[0].shape[0])
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for latent in decoded_latents:
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i = 255. * latent.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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metadata = None
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if not args.disable_metadata:
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metadata = PngInfo()
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if prompt is not None:
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metadata.add_text("prompt", json.dumps(prompt))
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if extra_pnginfo is not None:
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for x in extra_pnginfo:
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metadata.add_text(x, json.dumps(extra_pnginfo[x]))
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file = f"{now}_{counter:03}_.png"
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img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=4)
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results.append({
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"filename": file,
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"subfolder": subfolder,
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"type": "output"
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})
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counter += 1
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return { "ui": { "images": results } }
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NODE_CLASS_MAPPINGS = {
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"Loader":Loader,
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"Prompts": Prompts,
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"ImageTool": ImageTool,
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"Wildcards": Wildcards,
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"LoadEmbedding": LoadEmbedding,
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"ConditionText": ConditionText,
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"SaveImages":SaveImages,
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}
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@@ -0,0 +1,398 @@
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Lion
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Elephant
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Tiger
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Giraffe
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Cheetah
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Zebra
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Gorilla
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Penguin
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Dolphin
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Kangaroo
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Polar bear
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Koala
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Orangutan
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Rhinoceros
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Chimpanzee
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Crocodile
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Hippopotamus
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Lemur
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Hyena
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Bald eagle
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Octopus
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Panda
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Red fox
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Snow leopard
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Ostrich
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Black bear
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Meerkat
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Komodo dragon
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Wolf
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Blue whale
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Great white shark
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Platypus
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Red panda
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Peacock
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Armadillo
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Boa constrictor
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Raccoon
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Cheetah
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Ocelot
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Swordfish
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Koala
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Manatee
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Puma
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Snow leopard
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Porcupine
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Platypus
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Gazelle
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Tasmanian devil
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Flamingo
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Chameleon
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Red squirrel
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Hammerhead shark
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Bald eagle
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Tarantula
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Kangaroo
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Sloth
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Hyena
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Wallaby
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Gila monster
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Alligator
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Iguana
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Puffin
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Sea otter
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Tapir
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Pika
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Jerboa
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Salamander
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Pigeon
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Gannet
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Rattlesnake
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Vulture
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Harpy eagle
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Aye-aye
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Fennec fox
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Mandrill
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Yak
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Bison
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Lemming
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Wombat
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Tasmanian tiger
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Narwhal
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Wolverine
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Caracal
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Walrus
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Fossa
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Axolotl
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Lemur
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Tapir
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Warthog
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Okapi
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Quokka
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Capybara
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Snowshoe hare
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Flying squirrel
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Cuttlefish
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Blobfish
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Kakapo
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Proboscis monkey
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Gibbon
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Aardvark
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Bald eagle
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Sloth
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Raccoon
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Armadillo
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Rhinoceros
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Platypus
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Lemur
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Cheetah
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Puma
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Wallaby
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Ocelot
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Octopus
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Chimpanzee
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Puffin
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Tapir
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Gannet
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Wolverine
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Meerkat
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Hyena
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Panda
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Blue whale
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Red panda
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Snow leopard
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Vulture
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Rattlesnake
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Gorilla
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Platypus
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Gazelle
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Flamingo
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Cheetah
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Orangutan
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Bald eagle
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Dolphin
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Koala
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Zebra
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Elephant
|
||||
Lion
|
||||
Tiger
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Giraffe
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Komodo dragon
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Koala
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Harpy eagle
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Tasmanian devil
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Manatee
|
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Pigeon
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Red squirrel
|
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Polar bear
|
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Tapir
|
||||
Iguana
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Ostrich
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Chameleon
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Aye-aye
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Lemming
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||||
Bison
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Hammerhead shark
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||||
Snowshoe hare
|
||||
Fossa
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||||
Tasmanian tiger
|
||||
Boa constrictor
|
||||
Salamander
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Gila monster
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Kakapo
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Pika
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Bald eagle
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Lemur
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Sloth
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Axolotl
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Quokka
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Wallaby
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Caracal
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Sea otter
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Manatee
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Gannet
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Platypus
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Porcupine
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Raccoon
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Wolf
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Hyena
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Polar bear
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Cheetah
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Chimpanzee
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Elephant
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Kangaroo
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Zebra
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Ostrich
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Dolphin
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Cheetah
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Snow leopard
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Penguin
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Tiger
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Red panda
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Platypus
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Gorilla
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Boa constrictor
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Lemur
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Meerkat
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Chimpanzee
|
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Octopus
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Komodo dragon
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Raccoon
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Koala
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Snowshoe hare
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Ocelot
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Bald eagle
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Manatee
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Blue whale
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Red fox
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Snow leopard
|
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Panda
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Axolotl
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Blobfish
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Kakapo
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Proboscis monkey
|
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Gibbon
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Aardvark
|
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Rhinoceros
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Platypus
|
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Lemur
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||||
Cheetah
|
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Puma
|
||||
Wallaby
|
||||
Ocelot
|
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Octopus
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Chimpanzee
|
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Puffin
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Tapir
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||||
Gannet
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Wolverine
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||||
Meerkat
|
||||
Hyena
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||||
Panda
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Blue whale
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||||
Red panda
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Snow leopard
|
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Vulture
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Rattlesnake
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Gorilla
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Platypus
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Gazelle
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Flamingo
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Cheetah
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Orangutan
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Bald eagle
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Dolphin
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Koala
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Zebra
|
||||
Elephant
|
||||
Lion
|
||||
Tiger
|
||||
Giraffe
|
||||
Komodo dragon
|
||||
Koala
|
||||
Harpy eagle
|
||||
Tasmanian devil
|
||||
Manatee
|
||||
Pigeon
|
||||
Red squirrel
|
||||
Polar bear
|
||||
Tapir
|
||||
Iguana
|
||||
Ostrich
|
||||
Chameleon
|
||||
Aye-aye
|
||||
Lemming
|
||||
Bison
|
||||
Hammerhead shark
|
||||
Snowshoe hare
|
||||
Fossa
|
||||
Tasmanian tiger
|
||||
Boa constrictor
|
||||
Salamander
|
||||
Gila monster
|
||||
Kakapo
|
||||
Pika
|
||||
Bald eagle
|
||||
Lemur
|
||||
Sloth
|
||||
Axolotl
|
||||
Quokka
|
||||
Wallaby
|
||||
Caracal
|
||||
Sea otter
|
||||
Manatee
|
||||
Gannet
|
||||
Platypus
|
||||
Porcupine
|
||||
Raccoon
|
||||
Wolf
|
||||
Hyena
|
||||
Polar bear
|
||||
Cheetah
|
||||
Chimpanzee
|
||||
Elephant
|
||||
Kangaroo
|
||||
Zebra
|
||||
Ostrich
|
||||
Dolphin
|
||||
Cheetah
|
||||
Snow leopard
|
||||
Penguin
|
||||
Tiger
|
||||
Red panda
|
||||
Platypus
|
||||
Gorilla
|
||||
Boa constrictor
|
||||
Lemur
|
||||
Meerkat
|
||||
Chimpanzee
|
||||
Octopus
|
||||
Komodo dragon
|
||||
Raccoon
|
||||
Koala
|
||||
Snowshoe hare
|
||||
Ocelot
|
||||
Bald eagle
|
||||
Manatee
|
||||
Blue whale
|
||||
Red fox
|
||||
Snow leopard
|
||||
Panda
|
||||
Axolotl
|
||||
Blobfish
|
||||
Kakapo
|
||||
Proboscis monkey
|
||||
Gibbon
|
||||
Aardvark
|
||||
Rhinoceros
|
||||
Platypus
|
||||
Lemur
|
||||
Cheetah
|
||||
Puma
|
||||
Wallaby
|
||||
Ocelot
|
||||
Octopus
|
||||
Chimpanzee
|
||||
Puffin
|
||||
Tapir
|
||||
Gannet
|
||||
Wolverine
|
||||
Meerkat
|
||||
Hyena
|
||||
Panda
|
||||
Blue whale
|
||||
Red panda
|
||||
Snow leopard
|
||||
Vulture
|
||||
Rattlesnake
|
||||
Gorilla
|
||||
Platypus
|
||||
Gazelle
|
||||
Flamingo
|
||||
Cheetah
|
||||
Orangutan
|
||||
Bald eagle
|
||||
Dolphin
|
||||
Koala
|
||||
Zebra
|
||||
Elephant
|
||||
Lion
|
||||
Tiger
|
||||
Giraffe
|
||||
Komodo dragon
|
||||
Koala
|
||||
Harpy eagle
|
||||
Tasmanian devil
|
||||
Manatee
|
||||
Pigeon
|
||||
Red squirrel
|
||||
Polar bear
|
||||
Tapir
|
||||
Iguana
|
||||
Ostrich
|
||||
Chameleon
|
||||
Aye-aye
|
||||
Lemming
|
||||
Bison
|
||||
Hammerhead shark
|
||||
Snowshoe hare
|
||||
Fossa
|
||||
Tasmanian tiger
|
||||
Boa constrictor
|
||||
Salamander
|
||||
Gila monster
|
||||
Kakapo
|
||||
Pika
|
||||
Bald eagle
|
||||
Lemur
|
||||
Sloth
|
||||
Axolotl
|
||||
Quokka
|
||||
Wallaby
|
||||
Caracal
|
||||
Sea otter
|
||||
Manatee
|
||||
Gannet
|
||||
Platypus
|
||||
Porcupine
|
||||
Raccoon
|
||||
@@ -0,0 +1,249 @@
|
||||
Abstract Expressionism
|
||||
Art Nouveau
|
||||
Baroque
|
||||
Cubism
|
||||
Dada
|
||||
Fauvism
|
||||
Impressionism
|
||||
Minimalism
|
||||
Op Art
|
||||
Pointillism
|
||||
Pop Art
|
||||
Realism
|
||||
Surrealism
|
||||
Constructivism
|
||||
De Stijl
|
||||
Gothic
|
||||
Renaissance
|
||||
Rococo
|
||||
Abstract Art
|
||||
Suprematism
|
||||
Trompe-l'oeil
|
||||
Photorealism
|
||||
Sculpture
|
||||
Tonalism
|
||||
Neo-Classicism
|
||||
Pre-Raphaelite Brotherhood
|
||||
Color Field Painting
|
||||
Neo-Impressionism
|
||||
Post-Impressionism
|
||||
Street Art
|
||||
Op Art
|
||||
Conceptual Art
|
||||
Social Realism
|
||||
Ashcan School
|
||||
Art Deco
|
||||
Land Art
|
||||
Digital Art
|
||||
Art Brut
|
||||
Installation Art
|
||||
Body Art
|
||||
Hyperrealism
|
||||
Futurism
|
||||
Romanticism
|
||||
Cubo-Futurism
|
||||
Precisionism
|
||||
Surrealist Automatism
|
||||
Symbolism
|
||||
Magic Realism
|
||||
Hard-edge Painting
|
||||
Regionalism
|
||||
Kinetic Art
|
||||
Tenebrism
|
||||
Abstract Illusionism
|
||||
Fluxus
|
||||
Orphism
|
||||
Neoclassical Sculpture
|
||||
Earthworks
|
||||
Arte Povera
|
||||
Analytical Cubism
|
||||
Street Photography
|
||||
Tachisme
|
||||
Luminism
|
||||
Arte Concreto
|
||||
Byzantine Art
|
||||
Primitivism
|
||||
Geometric Abstraction
|
||||
Informalism
|
||||
Rocaille
|
||||
Social Sculpture
|
||||
Transgressive Art
|
||||
Conceptual Realism
|
||||
Classicism
|
||||
Post-Minimalism
|
||||
Orientalism
|
||||
Action Painting
|
||||
Stuckism
|
||||
Photomontage
|
||||
Socialist Realism
|
||||
Art Informel
|
||||
Cubist Realism
|
||||
Feminist Art
|
||||
Hard-edge Abstraction
|
||||
Poster Art
|
||||
Rococo Revival
|
||||
Superflat
|
||||
Illusionistic Surrealism
|
||||
Artistic Realism
|
||||
Cloisonnism
|
||||
Non-objective Art
|
||||
Nihonga
|
||||
Pintura Negra
|
||||
Intimism
|
||||
Visionary Art
|
||||
Equipo Crónica
|
||||
Counter-reformation Art
|
||||
Deconstructivism
|
||||
Hyper-Modernism
|
||||
Rayonism
|
||||
Les Nabis
|
||||
New Objectivity
|
||||
Anamorphic Art
|
||||
Outsider Art
|
||||
Spatialism
|
||||
Neorealism
|
||||
Preraphaelite Style
|
||||
Remodernism
|
||||
Orphism
|
||||
Pittura Metafisica
|
||||
Synthetic Cubism
|
||||
Cubo-Futurism
|
||||
Visionary Surrealism
|
||||
Graffiti Art
|
||||
Geometric Abstraction
|
||||
Pop Surrealism
|
||||
Non-representational Art
|
||||
Kinetic Sculpture
|
||||
Optical Art
|
||||
Fluxus
|
||||
Body Painting
|
||||
Magic Realism
|
||||
Precisionism
|
||||
Visual Poetry
|
||||
Art Brut
|
||||
Installation Art
|
||||
Photorealism
|
||||
Outsider Art
|
||||
Neo Rauchism
|
||||
Precisionism
|
||||
Symbolism
|
||||
Environmental Art
|
||||
Maximalism
|
||||
Pintura Negra
|
||||
Pattern and Decoration
|
||||
Linearism
|
||||
Primitive Art
|
||||
Post-Impressionism
|
||||
Superrealism
|
||||
New Classicism
|
||||
Digital Art
|
||||
Stuckism
|
||||
Arte Concreto
|
||||
Earthworks
|
||||
Arte Povera
|
||||
Luminism
|
||||
Street Photography
|
||||
Neoclassical Sculpture
|
||||
Orphism
|
||||
Post-Minimalism
|
||||
Transgressive Art
|
||||
Socialist Realism
|
||||
Action Painting
|
||||
Photomontage
|
||||
Byzantine Art
|
||||
Socialist Realism
|
||||
Stuckism
|
||||
Photorealism
|
||||
Action Painting
|
||||
Socialist Realism
|
||||
Non-objective Art
|
||||
Visionary Art
|
||||
Feminist Art
|
||||
Tonalism
|
||||
Counter-reformation Art
|
||||
Equipo Crónica
|
||||
Illusionistic Surrealism
|
||||
Superflat
|
||||
Artistic Realism
|
||||
Poster Art
|
||||
Rococo Revival
|
||||
Poster Art
|
||||
Non-objective Art
|
||||
Visionary Art
|
||||
Feminist Art
|
||||
Tonalism
|
||||
Counter-reformation Art
|
||||
Deconstructivism
|
||||
Hyper-Modernism
|
||||
Rayonism
|
||||
Les Nabis
|
||||
New Objectivity
|
||||
Anamorphic Art
|
||||
Outsider Art
|
||||
Spatialism
|
||||
Neorealism
|
||||
Preraphaelite Style
|
||||
Remodernism
|
||||
Orphism
|
||||
Pittura Metafisica
|
||||
Synthetic Cubism
|
||||
Cubo-Futurism
|
||||
Visionary Surrealism
|
||||
Graffiti Art
|
||||
Geometric Abstraction
|
||||
Pop Surrealism
|
||||
Non-representational Art
|
||||
Kinetic Sculpture
|
||||
Optical Art
|
||||
Fluxus
|
||||
Body Painting
|
||||
Magic Realism
|
||||
Precisionism
|
||||
Visual Poetry
|
||||
Art Brut
|
||||
Installation Art
|
||||
Photorealism
|
||||
Outsider Art
|
||||
Neo Rauchism
|
||||
Precisionism
|
||||
Symbolism
|
||||
Environmental Art
|
||||
Maximalism
|
||||
Pintura Negra
|
||||
Pattern and Decoration
|
||||
Linearism
|
||||
Primitive Art
|
||||
Post-Impressionism
|
||||
Superrealism
|
||||
New Classicism
|
||||
Digital Art
|
||||
Stuckism
|
||||
Arte Concreto
|
||||
Earthworks
|
||||
Arte Povera
|
||||
Luminism
|
||||
Street Photography
|
||||
Neoclassical Sculpture
|
||||
Orphism
|
||||
Post-Minimalism
|
||||
Transgressive Art
|
||||
Socialist Realism
|
||||
Action Painting
|
||||
Photomontage
|
||||
Byzantine Art
|
||||
Socialist Realism
|
||||
Stuckism
|
||||
Photorealism
|
||||
Action Painting
|
||||
Socialist Realism
|
||||
Non-objective Art
|
||||
Visionary Art
|
||||
Feminist Art
|
||||
Tonalism
|
||||
Counter-reformation Art
|
||||
Equipo Crónica
|
||||
Illusionistic Surrealism
|
||||
Superflat
|
||||
Artistic Realism
|
||||
Poster Art
|
||||
Rococo Revival
|
||||
@@ -0,0 +1,52 @@
|
||||
Red
|
||||
Blue
|
||||
Green
|
||||
Yellow
|
||||
Purple
|
||||
Orange
|
||||
Pink
|
||||
Turquoise
|
||||
Brown
|
||||
Black
|
||||
White
|
||||
Gray
|
||||
Lavender
|
||||
Magenta
|
||||
Cyan
|
||||
Gold
|
||||
Silver
|
||||
Indigo
|
||||
Teal
|
||||
Maroon
|
||||
Olive
|
||||
Beige
|
||||
Navy
|
||||
Violet
|
||||
Aqua
|
||||
Lime
|
||||
Crimson
|
||||
Burgundy
|
||||
Peach
|
||||
Mint
|
||||
Slate
|
||||
Ivory
|
||||
Khaki
|
||||
Ruby
|
||||
Emerald
|
||||
Sapphire
|
||||
Amber
|
||||
Bronze
|
||||
Charcoal
|
||||
Plum
|
||||
Mauve
|
||||
Fuchsia
|
||||
Periwinkle
|
||||
Coral
|
||||
Azure
|
||||
Lilac
|
||||
Tangerine
|
||||
Jade
|
||||
Cobalt
|
||||
Rose
|
||||
Cerulean
|
||||
Apricot
|
||||
@@ -0,0 +1,54 @@
|
||||
Serenic
|
||||
Bustling
|
||||
Idyllic
|
||||
Picturesque
|
||||
Vibrant
|
||||
Tranquil
|
||||
Majestic
|
||||
Lively
|
||||
Peaceful
|
||||
Breathtaking
|
||||
Enchanting
|
||||
Barren
|
||||
Quaint
|
||||
Urban
|
||||
Rustic
|
||||
Surreal
|
||||
Colorful
|
||||
Dramatic
|
||||
Cozy
|
||||
Hectic
|
||||
Harmonious
|
||||
Exotic
|
||||
Sparse
|
||||
Gloomy
|
||||
Radiant
|
||||
Awe-inspiring
|
||||
Charming
|
||||
Picturesque
|
||||
Misty
|
||||
Arid
|
||||
Nocturnal
|
||||
Sunny
|
||||
Enigmatic
|
||||
Chaos
|
||||
Mesmerizing
|
||||
Pastoral
|
||||
Eerie
|
||||
Enthralling
|
||||
Sprawling
|
||||
Calm
|
||||
Industrial
|
||||
Dreamy
|
||||
Tumultuous
|
||||
Elegant
|
||||
Otherworldly
|
||||
Scenic
|
||||
Sublime
|
||||
Tragic
|
||||
Whimsical
|
||||
Untamed
|
||||
Melancholic
|
||||
Magical
|
||||
Spectacular
|
||||
Sultry
|
||||
@@ -0,0 +1,50 @@
|
||||
Refrigerator
|
||||
Toaster
|
||||
Blender
|
||||
Microwave
|
||||
Coffee maker
|
||||
Dishwasher
|
||||
Washing machine
|
||||
Dryer
|
||||
Television
|
||||
Vacuum cleaner
|
||||
Sofa
|
||||
Dining table
|
||||
Chair
|
||||
Bed
|
||||
Wardrobe
|
||||
Mirror
|
||||
Clock
|
||||
Lamp
|
||||
Picture frame
|
||||
Curtains
|
||||
Bookshelf
|
||||
Trash can
|
||||
Kitchen sink
|
||||
Cutting board
|
||||
Utensil set
|
||||
Iron
|
||||
Ironing board
|
||||
Hairdryer
|
||||
Towel rack
|
||||
Showerhead
|
||||
Toilet
|
||||
Bathtub
|
||||
Soap dispenser
|
||||
Toothbrush holder
|
||||
Toilet paper holder
|
||||
Hand towel
|
||||
Bath towel
|
||||
Frying pan
|
||||
Cooking pot
|
||||
Dish rack
|
||||
Silverware drawer
|
||||
Broom
|
||||
Dustpan
|
||||
Oven
|
||||
Food processor
|
||||
Spice rack
|
||||
Trash bags
|
||||
Coat hanger
|
||||
Fire extinguisher
|
||||
Smoke detector
|
||||
@@ -0,0 +1,51 @@
|
||||
Mountains
|
||||
Valleys
|
||||
Deserts
|
||||
Beaches
|
||||
Forests
|
||||
Meadows
|
||||
Hills
|
||||
Canyons
|
||||
Tundra
|
||||
Glaciers
|
||||
Swamps
|
||||
Jungles
|
||||
Savannas
|
||||
Plateaus
|
||||
Islands
|
||||
Prairies
|
||||
Waterfalls
|
||||
Volcanoes
|
||||
Caves
|
||||
Coral reefs
|
||||
Urban landscapes
|
||||
Rivers
|
||||
Lakes
|
||||
Ponds
|
||||
Fjords
|
||||
Cliffs
|
||||
Oases
|
||||
Marshes
|
||||
Wetlands
|
||||
Archipelagos
|
||||
Badlands
|
||||
Dunes
|
||||
Vineyards
|
||||
Terraced fields
|
||||
Countryside
|
||||
Farmlands
|
||||
Tropical rainforests
|
||||
Taigas
|
||||
Steppes
|
||||
Highlands
|
||||
Barren wastelands
|
||||
Craters
|
||||
Lava fields
|
||||
Alpine meadows
|
||||
Boreal forests
|
||||
Rocky shores
|
||||
Mangroves
|
||||
Estuaries
|
||||
Salt flats
|
||||
Arid plateaus
|
||||
Polar ice caps
|
||||
@@ -0,0 +1,50 @@
|
||||
Standing
|
||||
Sitting cross-legged
|
||||
Arms outstretched to the sides
|
||||
Leaning against a wall
|
||||
Hands on hips
|
||||
Kneeling with hands on the ground
|
||||
One hand on chin in thought
|
||||
Arms raised in victory
|
||||
Reaching for the sky
|
||||
Lying on your back with arms and legs extended
|
||||
Sitting on a stool
|
||||
Arms folded in front
|
||||
One knee bent, resting on a rock
|
||||
Hands clasped behind back
|
||||
Hugging oneself
|
||||
Posing in a yoga tree pose
|
||||
Leaning forward with hands on knees
|
||||
Lying on stomach with head propped on hand
|
||||
Sitting with one leg tucked under
|
||||
Crouching down
|
||||
Hands in prayer position
|
||||
Standing on one leg
|
||||
Hands on a hip, one leg bent
|
||||
Arms outstretched with palms up
|
||||
One hand behind the head
|
||||
Standing with one hand on the chin
|
||||
Lying on the side with legs bent
|
||||
Standing with one hand on a hip
|
||||
Balancing on one foot
|
||||
Arms stretched forward
|
||||
Holding a bouquet of flowers
|
||||
Kneeling with head resting on hands
|
||||
Stretching arms behind
|
||||
Sitting on a chair with one leg crossed over the other
|
||||
Sitting on a step with legs extended
|
||||
Lying on side with legs extended
|
||||
One hand pointing forward
|
||||
Standing with arms at sides
|
||||
Leaning back with arms out
|
||||
Sitting on the ground with legs wide apart
|
||||
Posing as if dancing
|
||||
Hands in a praying position
|
||||
Sitting with legs crossed at ankles
|
||||
One hand resting on a table
|
||||
Holding a book
|
||||
Sitting with one leg tucked under
|
||||
Standing with arms crossed over chest
|
||||
Arms extended to the side
|
||||
Hands on hips, one leg bent
|
||||
Lying on stomach with hands under chin
|
||||
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Before Width: | Height: | Size: 88 KiB After Width: | Height: | Size: 135 KiB |
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After Width: | Height: | Size: 67 KiB |
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After Width: | Height: | Size: 88 KiB |
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After Width: | Height: | Size: 964 KiB |
Reference in New Issue
Block a user