Files

1 line
32 KiB
JSON

{"last_node_id": 50, "last_link_id": 79, "nodes": [{"id": 16, "type": "Reroute", "pos": [868, -42], "size": [75, 26], "flags": {}, "order": 15, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 18, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [22, 29], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 33, "type": "Reroute", "pos": [2370, 1195], "size": [75, 26], "flags": {}, "order": 12, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 45, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [44], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 28, "type": "Reroute", "pos": [3823, 1196], "size": [75, 26], "flags": {}, "order": 17, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 44, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [40], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 31, "type": "CLIPTextEncode", "pos": [3948, 1229], "size": {"0": 210, "1": 54}, "flags": {"collapsed": true}, "order": 22, "mode": 0, "inputs": [{"name": "clip", "type": "CLIP", "link": null}, {"name": "text", "type": "STRING", "link": 40, "widget": {"name": "text"}, "slot_index": 1}], "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [48], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "CLIPTextEncode"}, "widgets_values": [""]}, {"id": 32, "type": "CLIPTextEncode", "pos": [3943, 1194], "size": {"0": 210, "1": 54}, "flags": {"collapsed": true}, "order": 23, "mode": 0, "inputs": [{"name": "clip", "type": "CLIP", "link": null}, {"name": "text", "type": "STRING", "link": 41, "widget": {"name": "text"}, "slot_index": 1}], "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [49], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "CLIPTextEncode"}, "widgets_values": ["kid's drawing of a star, cel shaded"]}, {"id": 30, "type": "Reroute", "pos": [3829, 1151], "size": [75, 26], "flags": {}, "order": 18, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 46, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [41], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 29, "type": "Reroute", "pos": [286, 1197], "size": [75, 26], "flags": {}, "order": 13, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 47, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [46]}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 36, "type": "Anything Everywhere", "pos": [4596, -98], "size": {"0": 210, "1": 26}, "flags": {}, "order": 8, "mode": 0, "inputs": [{"name": "LATENT", "type": "*", "link": 50, "slot_index": 0, "color_on": "#FF9CF9"}], "properties": {"Node name for S&R": "Anything Everywhere", "group_restricted": 0, "color_restricted": 0}, "widgets_values": []}, {"id": 34, "type": "EmptyLatentImage", "pos": [4191.0215390625, -85.7291218749998], "size": {"0": 315, "1": 106}, "flags": {}, "order": 0, "mode": 0, "outputs": [{"name": "LATENT", "type": "LATENT", "links": [50], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "EmptyLatentImage"}, "widgets_values": [1024, 1024, 1]}, {"id": 26, "type": "CLIPTextEncode", "pos": [3520, 253], "size": {"0": 210, "1": 54}, "flags": {"collapsed": true}, "order": 29, "mode": 0, "inputs": [{"name": "clip", "type": "CLIP", "link": null}, {"name": "text", "type": "STRING", "link": 38, "widget": {"name": "text"}, "slot_index": 1}], "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [39], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "CLIPTextEncode"}, "widgets_values": [""]}, {"id": 19, "type": "Reroute", "pos": [1775.5084056445316, -23.977719160156084], "size": [75, 26], "flags": {}, "order": 21, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 29, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "STRING", "links": [28], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 18, "type": "Reroute", "pos": [1774, 13], "size": [75, 26], "flags": {}, "order": 16, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 27, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "COMBO", "links": [26], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 23, "type": "CLIPTextEncode", "pos": [3503, 191], "size": {"0": 210, "1": 54}, "flags": {"collapsed": true}, "order": 28, "mode": 0, "inputs": [{"name": "clip", "type": "CLIP", "link": null}, {"name": "text", "type": "STRING", "link": 74, "widget": {"name": "text"}, "slot_index": 1}], "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [37], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "CLIPTextEncode"}, "widgets_values": [""]}, {"id": 24, "type": "Anything Everywhere3", "pos": [2911, -27], "size": {"0": 210, "1": 66}, "flags": {}, "order": 9, "mode": 0, "inputs": [{"name": "MODEL", "type": "*", "link": 34, "color_on": "#B39DDB"}, {"name": "CLIP", "type": "*", "link": 35, "color_on": "#FFD500"}, {"name": "VAE", "type": "*", "link": 36, "color_on": "#FF6E6E"}], "properties": {"Node name for S&R": "Anything Everywhere3", "group_restricted": 0, "color_restricted": 0}, "widgets_values": []}, {"id": 22, "type": "CheckpointLoaderSimple", "pos": [2475, -35], "size": {"0": 413.2734375, "1": 103.88829040527344}, "flags": {}, "order": 1, "mode": 0, "outputs": [{"name": "MODEL", "type": "MODEL", "links": [34], "shape": 3, "slot_index": 0}, {"name": "CLIP", "type": "CLIP", "links": [35], "shape": 3, "slot_index": 1}, {"name": "VAE", "type": "VAE", "links": [36], "shape": 3, "slot_index": 2}], "properties": {"Node name for S&R": "CheckpointLoaderSimple"}, "widgets_values": ["sdxl/dreamshaperXL_lightningDPMSDE.safetensors"]}, {"id": 3, "type": "TaraApiKeyLoader", "pos": [-43, -195], "size": {"0": 315, "1": 82}, "flags": {"collapsed": false}, "order": 10, "mode": 0, "inputs": [{"name": "model", "type": "COMBO", "link": 76, "widget": {"name": "model"}, "slot_index": 0}], "outputs": [{"name": "api_key", "type": "STRING", "links": [8, 18], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "TaraApiKeyLoader"}, "widgets_values": ["groq/mixtral-8x7b-32768", false]}, {"id": 15, "type": "Reroute", "pos": [862.5970458984375, -2.1920166015625], "size": [75, 26], "flags": {}, "order": 11, "mode": 0, "inputs": [{"name": "", "type": "*", "link": 77, "slot_index": 0, "widget": {"name": "value"}}], "outputs": [{"name": "", "type": "COMBO", "links": [20, 27], "slot_index": 0}], "properties": {"showOutputText": false, "horizontal": false}}, {"id": 27, "type": "KSampler (Efficient)", "pos": [4078, 185], "size": {"0": 315.222900390625, "1": 629.6509399414062}, "flags": {"collapsed": false}, "order": 26, "mode": 0, "inputs": [{"name": "model", "type": "MODEL", "link": null}, {"name": "positive", "type": "CONDITIONING", "link": 49, "slot_index": 1}, {"name": "negative", "type": "CONDITIONING", "link": 48, "slot_index": 2}, {"name": "latent_image", "type": "LATENT", "link": null}, {"name": "optional_vae", "type": "VAE", "link": null}, {"name": "script", "type": "SCRIPT", "link": null}, {"name": "seed", "type": "INT", "link": null, "widget": {"name": "seed"}}], "outputs": [{"name": "MODEL", "type": "MODEL", "links": null, "shape": 3}, {"name": "CONDITIONING+", "type": "CONDITIONING", "links": null, "shape": 3}, {"name": "CONDITIONING-", "type": "CONDITIONING", "links": null, "shape": 3}, {"name": "LATENT", "type": "LATENT", "links": null, "shape": 3}, {"name": "VAE", "type": "VAE", "links": null, "shape": 3}, {"name": "IMAGE", "type": "IMAGE", "links": null, "shape": 3}], "properties": {"Node name for S&R": "KSampler (Efficient)"}, "widgets_values": [-1, null, 6, 1.5, "dpmpp_sde", "karras", 1, "auto", "true"], "color": "#223", "bgcolor": "#335", "shape": 1}, {"id": 6, "type": "TaraDaisyChainNode", "pos": [1378, -380], "size": {"0": 773.2999877929688, "1": 698.5}, "flags": {"collapsed": true}, "order": 2, "mode": 0, "inputs": [{"name": "api_key", "type": "STRING", "link": null, "widget": {"name": "api_key"}}, {"name": "model", "type": "COMBO", "link": null, "widget": {"name": "model"}, "slot_index": 1}, {"name": "prompt", "type": "STRING", "link": null, "widget": {"name": "prompt"}}, {"name": "positive", "type": "STRING", "link": null, "widget": {"name": "positive"}}, {"name": "negative", "type": "STRING", "link": null, "widget": {"name": "negative"}}], "outputs": [{"name": "output_text", "type": "STRING", "links": null, "shape": 3}], "properties": {"Node name for S&R": "TaraDaisyChainNode"}, "widgets_values": ["", "Tara/mixtral-8x7b-32768", 0.4, 1000, 1, 0, 0, "You are an expert Stable Diffusion (image generator) prompt generator.\nYour task is to generate a positive and negative prompt. The positive prompt describes features we want, and the negative describes things we don't want.\nYou will be given a guidance text, and optionally a positive prompt and a negative prompt, and you need come up with the perfect prompt.\n\nThe words to the beginning has a higher weight the words in the end. Stable diffusion models works best when we give them a clear and concise prompt.\nOne trick is to use comma-seperated lists, and use keywords such as 4k, ultra hd, masterpiece, cinematic etc. only if they are relevant.\n\nFurthermore, we can use various artist, studio, movie names etc to get a likeness to that style. For example, \"painting by Van Gogh\" or \"scene from the movie Up\".\nSome keywords that can be useful (use caution for relevance) are: 4k, ultra hd, masterpiece, cinematic, painting, drawing, sketch, scene, movie, artist, studio, style, trending on ArtStation, DeviantArt, Behance etc.\n\nIf the guidance or the prompt calls for a particular style, we don't need style keywords such as trending on etc. in the prompt.\n\nThe prompt is specific and detailed, guiding the AI to produce a targeted and expressive image. The positive prompt can be descriptive, may contain comma-seperated keywords or sentences that makes sense\nThe negative prompt should be comma-seperated keywords, and not a sentence.\n\nUse parenthesis to highlight specific words or spaces and use a colon followed by an weight to the end of a word or group to increase or decrease weight, for example (red panda:1.2) banana:1.5 or (yellow rose:0.9)\n----\n\nFill in any missing details such as composition, lighting, background, props, art style etc.", "", "", ""]}, {"id": 45, "type": "ShowText|pysssss", "pos": [2514, 1289], "size": {"0": 894.8009033203125, "1": 83.42179107666016}, "flags": {}, "order": 3, "mode": 0, "inputs": [{"name": "text", "type": "STRING", "link": null, "widget": {"name": "text"}}], "outputs": [{"name": "STRING", "type": "STRING", "links": null, "shape": 6}], "properties": {"Node name for S&R": "ShowText|pysssss"}, "widgets_values": ["", "ugly disfigured blurry photorealistic photograph"], "color": "#322", "bgcolor": "#533"}, {"id": 25, "type": "Seed Everywhere", "pos": [2521, 112], "size": {"0": 315, "1": 82}, "flags": {}, "order": 4, "mode": 0, "outputs": [{"name": "INT", "type": "INT", "links": null, "shape": 3}], "properties": {"Node name for S&R": "Seed Everywhere", "group_restricted": 0, "color_restricted": 0}, "widgets_values": [678322716955774, "fixed"]}, {"id": 14, "type": "TaraDaisyChainNode", "pos": [1141, 163], "size": {"0": 751.695068359375, "1": 691.7921142578125}, "flags": {}, "order": 20, "mode": 0, "inputs": [{"name": "api_key", "type": "STRING", "link": 22, "widget": {"name": "api_key"}}, {"name": "model", "type": "COMBO", "link": 20, "widget": {"name": "model"}, "slot_index": 1}, {"name": "prompt", "type": "STRING", "link": 23, "widget": {"name": "prompt"}, "slot_index": 2}, {"name": "positive", "type": "STRING", "link": 24, "widget": {"name": "positive"}}, {"name": "negative", "type": "STRING", "link": null, "widget": {"name": "negative"}}], "outputs": [{"name": "output_text", "type": "STRING", "links": [51, 59], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "TaraDaisyChainNode"}, "widgets_values": ["", "groq/mixtral-8x7b-32768", 0.4, 1000, 1, 0, 0.5, "You are an expert Stable Diffusion (image generator) prompt checker:\n\nA good prompt for the SDXL stable diffusion model is a meticulously crafted narrative that starts with specifying the image type to set the artistic tone. It then lays out a clear and engaging scene, methodically adding layers of detail about the main subject, the surrounding environment, and their spatial relationships. It should use precise, descriptive language to define the mood, style, and execution, incorporating technical aspects like weight syntax (e.g., \"(smiling:1.1)\") to prioritize certain features. This approach ensures a rich, coherent, and visually compelling image that aligns with the intended vision. It should be only descriptive, avoid any guidance, avoid imperative sentences and remove any such guidance from prompts beforehand.\n\nConversely, a bad prompt lacks clarity and coherence, providing insufficient context or detail. It might jump into specifics without setting the scene, mix incompatible styles or themes, or neglect to specify spatial relationships and relative importance of elements, leading to a fragmented and confusing image. It may also misuse technical tools like weight syntax, resulting in an imbalanced and ineffective visual representation.\n\nThe words to the beginning has a higher weight the words in the end. Stable diffusion models works best when we give them a clear and concise prompt. \n\nFurthermore, we can use various artist, studio, movie names etc to get a likeness to that style. For example, \"painting by Van Gogh\" or \"scene from the movie Up\".\nSome keywords that can be useful (use caution for relevance) are: 4k, ultra hd, masterpiece, cinematic, painting, drawing, sketch, scene, movie, artist, studio, style, trending on ArtStation, DeviantArt, Behance etc.\n\nThe prompt is specific and detailed, guiding the AI to produce a targeted and expressive image. The positive prompt can be descriptive, may contain comma-seperated keywords or sentences that makes sense\n\nUse parenthesis to highlight specific words or spaces and use a colon followed by an weight to the end of a word or group to increase or decrease weight, for example (red panda:1.2) banana:1.5 or (yellow rose:0.9)\n\nIf a specific aesthetic, style, studio etc is mentioned, it should be accentuated as much as possible, we can increase its weight, and also add other keywords, artists, references to increase its weight.\n\nFind and remove any logical inconsistencies, confusing terms and contradictions. For example, if more than 1 option is presented for a subject or background, select one that's more appropriate.\n\n------\nIf any style or aesthetic is mentioned, try to find be more in tune with that, for example, if disney is mentioned, we can expand cartoon, 3d, cgi etc. on the other hand, anime would have a contrast, line art, hand-drawn aesthetic\n\nFill in any missing details such as composition, lighting, background, props, art style etc. If any details are vague, try to be specific\nYou are given a task plan, check if the task plan is in accordance to the positive prompt provided, also check for any logical or spacial inconsistencies and ambiguities, add any necessary details if missing and craft the final prompt\n\n----\nOnly output the adjusted prompt and no other explanation is needed", "an eagle in the aesthetic of looney tunes!", "kid's drawing of a star, cel shaded", ""]}, {"id": 17, "type": "TaraPrompter", "pos": [2513, 261], "size": {"0": 899.0891723632812, "1": 781.52392578125}, "flags": {}, "order": 25, "mode": 0, "inputs": [{"name": "api_key", "type": "STRING", "link": 28, "widget": {"name": "api_key"}}, {"name": "model", "type": "COMBO", "link": 26, "widget": {"name": "model"}, "slot_index": 1}, {"name": "prompt_positive", "type": "STRING", "link": 51, "widget": {"name": "prompt_positive"}}, {"name": "prompt_negative", "type": "STRING", "link": 31, "widget": {"name": "prompt_negative"}, "slot_index": 3}], "outputs": [{"name": "positive", "type": "STRING", "links": [60, 74], "shape": 3, "slot_index": 0}, {"name": "negative", "type": "STRING", "links": [38], "shape": 3, "slot_index": 1}], "properties": {"Node name for S&R": "TaraPrompter"}, "widgets_values": ["", "groq/mixtral-8x7b-32768", "You are a SDXL Prompt Generator\n\nA good prompt for the SDXL stable diffusion model is a meticulously crafted narrative that starts with specifying the image type to set the artistic tone. It then lays out a clear and engaging scene, methodically adding layers of detail about the main subject, the surrounding environment, and their spatial relationships. It should use precise, descriptive language to define the mood, style, and execution, incorporating technical aspects like weight syntax (e.g., \"(smiling:1.1)\") to prioritize certain features. This approach ensures a rich, coherent, and visually compelling image that aligns with the intended vision. It should be only descriptive, avoid any guidance, avoid imperative sentences and remove any such guidance from prompts beforehand.\n\nConversely, a bad prompt lacks clarity and coherence, providing insufficient context or detail. It might jump into specifics without setting the scene, mix incompatible styles or themes, or neglect to specify spatial relationships and relative importance of elements, leading to a fragmented and confusing image. It may also misuse technical tools like weight syntax, resulting in an imbalanced and ineffective visual representation.\n\nThe words to the beginning has a higher weight the words in the end. Stable diffusion models works best when we give them a clear and concise prompt. Only relevant content should be to the beginning (avoid things like \"Create a xyz\" or \"Scene:xyz\"\n\nFurthermore, we can use various artist, studio, movie names etc to get a likeness to that style. For example, \"painting by Van Gogh\" or \"scene from the movie Up\".\nSome keywords that can be useful (use caution for relevance) are: 4k, ultra hd, masterpiece, cinematic, painting, drawing, sketch, scene, movie, artist, studio, style, trending on ArtStation, DeviantArt, Behance etc.\n\nThe prompt is specific and detailed, guiding the AI to produce a targeted and expressive image. The positive prompt can be descriptive, may contain comma-seperated keywords or sentences that makes sense\n\nUse parenthesis to highlight specific words or spaces and use a colon followed by an weight to the end of a word or group to increase or decrease weight, for example (red panda:1.2) banana:1.5 or (yellow rose:0.9)\n\nThe negative prompt should be comma-seperated keywords, and not a sentence. And it should generally describe things we absolutely don't want in an image, if a image is about cartoon, we may put photorealistic in the negative. But if it's about a person, we should not put animal in negative (unless specified) because there are some similarities, in general it should be more qualitative than tangible such as JPEG artifacts, blurry, watermark etc. \n \n\nIf a specific aesthetic, style, studio etc is mentioned, it should be accentuated as much as possible, we should increase its weight (surrealistic:1.4) or (watercolor:2.0) etc., and also add other keywords, artists, references to increase its weight.\n---\nFollow the prompt as closely as possible without violating the guidelines. Generate both an amazing positive and negative prompt", "some flying animal, uncommon", ""]}, {"id": 44, "type": "ShowText|pysssss", "pos": [2508, 1111], "size": {"0": 908.3959350585938, "1": 132.3068389892578}, "flags": {}, "order": 27, "mode": 0, "inputs": [{"name": "text", "type": "STRING", "link": 60, "widget": {"name": "text"}}], "outputs": [{"name": "STRING", "type": "STRING", "links": null, "shape": 6}], "properties": {"Node name for S&R": "ShowText|pysssss"}, "widgets_values": ["", "Kids drawing, (frontal view:1.2) (star:1.5), (off-center:1.1), filled (warm yellow:1.3), cel shaded, distinct (flat color areas:1.2), (bold black outlines:1.4), shading (simple:1.2), (value stages:1.1), (form:1.1), (background:1.2), (light blue:1.1) or (black:1.1), (simple hand-drawn cloud:1.1), (contrast:1.1), (star:1.5), (stand out:1.1), (child-like quality:1.2), (simple lines:1.1), (charm:1.1), (imperfections:1.1), (hand-drawn composition:1.1), (subtle pencil texture:1.1), (faint scribbled lines:1.1), (learning process:1.1)"], "color": "#232", "bgcolor": "#353"}, {"id": 1, "type": "TaraDaisyChainNode", "pos": [350, 157], "size": {"0": 773.2999877929688, "1": 698.5}, "flags": {}, "order": 14, "mode": 0, "inputs": [{"name": "api_key", "type": "STRING", "link": 8, "widget": {"name": "api_key"}}, {"name": "model", "type": "COMBO", "link": 75, "widget": {"name": "model"}, "slot_index": 1}, {"name": "prompt", "type": "STRING", "link": 11, "widget": {"name": "prompt"}, "slot_index": 2}, {"name": "positive", "type": "STRING", "link": 54, "widget": {"name": "positive"}, "slot_index": 3}, {"name": "negative", "type": "STRING", "link": 78, "widget": {"name": "negative"}, "slot_index": 4}], "outputs": [{"name": "output_text", "type": "STRING", "links": [23, 58], "shape": 3, "slot_index": 0}], "properties": {"Node name for S&R": "TaraDaisyChainNode"}, "widgets_values": ["", "groq/mixtral-8x7b-32768", 1, 1000, 1, 0, 0.5, "You are an expert Stable Diffusion (image generator) prompt planner.\n\n\nA good prompt for the SDXL stable diffusion model is a meticulously crafted narrative that starts with specifying the image type to set the artistic tone. It then lays out a clear and engaging scene, methodically adding layers of detail about the main subject, the surrounding environment, and their spatial relationships. It should use precise, descriptive language to define the mood, style, and execution, incorporating technical aspects like weight syntax (e.g., \"(smiling:1.1)\") to prioritize certain features. This approach ensures a rich, coherent, and visually compelling image that aligns with the intended vision. It should be only descriptive, avoid any guidance, avoid imperative sentences and remove any such guidance from prompts beforehand. \n\nConversely, a bad prompt lacks clarity and coherence, providing insufficient context or detail. It might jump into specifics without setting the scene, mix incompatible styles or themes, or neglect to specify spatial relationships and relative importance of elements, leading to a fragmented and confusing image. It may also misuse technical tools like weight syntax, resulting in an imbalanced and ineffective visual representation.\n\nThe words to the beginning has a higher weight the words in the end. Stable diffusion models works best when we give them a clear and concise prompt.\n\nFurthermore, we can use various artist, studio, movie names etc to get a likeness to that style. For example, \"painting by Van Gogh\" or \"scene from the movie Up\".\nSome keywords that can be useful (use caution for relevance) are: 4k, ultra hd, masterpiece, cinematic, painting, drawing, sketch, scene, movie, artist, studio, style, trending on ArtStation, DeviantArt, Behance etc.\n\nThe prompt is specific and detailed, guiding the AI to produce a targeted and expressive image. The positive prompt can be descriptive, may contain comma-seperated keywords or sentences that makes sense. Avoid contradictions.\n\nUse parenthesis to highlight specific words or spaces and use a colon followed by an weight to the end of a word or group to increase or decrease weight, for example (red panda:1.2) banana:1.5 or (yellow rose:0.9)\n\nFill in any missing details such as composition, lighting, background, props, art style etc. If any details are vague, try to be specific\n\nIf any style or aesthetic is mentioned, try to find be more in tune with that, for example, if disney is mentioned, we can expand cartoon, 3d, cgi etc. on the other hand, anime would have a contrast, line art, hand-drawn aesthetic\n\nIf a specific aesthetic, style, studio etc is mentioned, it should be accentuated as much as possible, we can increase its weight, and also add other keywords, artists, references to increase its weight\n\n----\n\nYour job is to create a task plan such as defining the subject, pose, spatial relationships etc, be detailed about this. The output must be in english, no matter what other language is used, best-effort translation should be done\n\nBe comparatively brief in your response", "kid's drawing of a star, cel shaded", "kid's drawing of a star, cel shaded", ""]}, {"id": 43, "type": "ShowText|pysssss", "pos": [1133, 914], "size": {"0": 761.73388671875, "1": 488.926025390625}, "flags": {}, "order": 24, "mode": 0, "inputs": [{"name": "text", "type": "STRING", "link": 59, "widget": {"name": "text"}, "slot_index": 0}], "outputs": [{"name": "STRING", "type": "STRING", "links": null, "shape": 6}], "properties": {"Node name for S&R": "ShowText|pysssss"}, "widgets_values": ["", "Kid's drawing, frontal view of a star, taking up a significant portion of the frame, slightly off-center, filled with a warm yellow color, cel shaded with distinct, flat areas of color and bold, black outlines. The shading is simple, with a few value stages to convey the form of the star. The background is a plain, solid light blue or black, or could include a simple, hand-drawn cloud or two for added interest, to contrast with the star and make it stand out. The drawing has a clear, child-like quality, as if it was created by a young artist, with simple and expressive lines, a certain charm in their imperfections, and a hand-drawn, engaging composition. Subtle pencil texture details and a few faint, scribbled lines around the edges add to the learning process emphasis."]}, {"id": 2, "type": "PrimitiveNode", "pos": [-324, 46], "size": {"0": 210, "1": 106}, "flags": {}, "order": 5, "mode": 0, "outputs": [{"name": "COMBO", "type": "COMBO", "links": [75, 76, 77], "slot_index": 0, "widget": {"name": "model"}}], "properties": {"Run widget replace on values": false}, "widgets_values": ["groq/mixtral-8x7b-32768", "fixed", ""]}, {"id": 42, "type": "ShowText|pysssss", "pos": [361, 902], "size": {"0": 753.15380859375, "1": 481.74957275390625}, "flags": {}, "order": 19, "mode": 0, "inputs": [{"name": "text", "type": "STRING", "link": 58, "widget": {"name": "text"}, "slot_index": 0}], "outputs": [{"name": "STRING", "type": "STRING", "links": null, "shape": 6}], "properties": {"Node name for S&R": "ShowText|pysssss"}, "widgets_values": ["", "Task Plan:\n\nSubject: The central subject of the image will be a stylized, child-like depiction of a star.\n\nPose/Perspective: The star should be depicted in a frontal view, filling a significant portion of the frame to emphasize its importance. It can be slightly off-center to add visual interest.\n\nStyle: The drawing should have a clear, child-like quality, as if it was created by a young artist. The lines should be simple and expressive, with a certain charm in their imperfections.\n\nShading: The star should be cel-shaded, with distinct, flat areas of color and bold, black outlines to create a sense of depth and volume. The shading can be kept simple, with a few value stages to convey the form of the star.\n\nBackground: The background can be a plain, solid color, such as a light blue or black, to contrast with the star and make it stand out. Alternatively, a simple, hand-drawn cloud or two could be added for added interest and to reinforce the child-like theme.\n\nAdditional Considerations:\n\n1. Composition: The star should be the clear focus of the image, with any additional elements (such as clouds) supporting its dominance in the frame.\n2. Colors: The colors used should be bright and engaging, in line with the child-like theme. The star could be a warm yellow, gold, or white, with the background colors chosen to complement it.\n3. Art Style: The overall art style should be simple and expressive, with a hand-drawn quality that emphasizes the child-like nature of the drawing.\n4. Additional References: To further emphasize the child-like and drawing aspects, consider adding subtle pencil or crayon texture details, or even a few faint, scribbled lines around the edges as if the artist was learning to stay within the boundaries of the page.\n\nKeywords: kid's drawing, star, cel shaded, child-like, simple, expressive, hand-drawn, engaging colors, bright, warm, gold, yellow, white, pencil texture, learning, scribbled lines.\n\nPositive Prompt: Kid's drawing of a star in the center, filled with a warm yellow color, cel shaded with distinct, flat areas of color and bold, black outlines. The background is a light blue, simple and hand-drawn, as if created by a young artist. Add subtle pencil texture details and a few faint, scribbled lines around the edges to emphasize the learning process. The composition is engaging, with the star as the clear focus, and the overall style is simple and expressive."]}, {"id": 21, "type": "KSampler (Efficient)", "pos": [3756, 185], "size": {"0": 320.0628356933594, "1": 629.4352416992188}, "flags": {"collapsed": false}, "order": 30, "mode": 0, "inputs": [{"name": "model", "type": "MODEL", "link": null}, {"name": "positive", "type": "CONDITIONING", "link": 37}, {"name": "negative", "type": "CONDITIONING", "link": 39}, {"name": "latent_image", "type": "LATENT", "link": null}, {"name": "optional_vae", "type": "VAE", "link": null}, {"name": "script", "type": "SCRIPT", "link": null}, {"name": "seed", "type": "INT", "link": null, "widget": {"name": "seed"}}], "outputs": [{"name": "MODEL", "type": "MODEL", "links": null, "shape": 3}, {"name": "CONDITIONING+", "type": "CONDITIONING", "links": null, "shape": 3}, {"name": "CONDITIONING-", "type": "CONDITIONING", "links": null, "shape": 3}, {"name": "LATENT", "type": "LATENT", "links": null, "shape": 3}, {"name": "VAE", "type": "VAE", "links": null, "shape": 3}, {"name": "IMAGE", "type": "IMAGE", "links": null, "shape": 3}], "properties": {"Node name for S&R": "KSampler (Efficient)"}, "widgets_values": [787595506340369, null, 6, 1.5, "dpmpp_sde", "karras", 1, "auto", "true"], "color": "#232", "bgcolor": "#353", "shape": 1}, {"id": 20, "type": "PrimitiveNode", "pos": [-418, 550], "size": {"0": 428.0453796386719, "1": 76}, "flags": {}, "order": 6, "mode": 0, "outputs": [{"name": "STRING", "type": "STRING", "links": [31, 45, 78], "widget": {"name": "prompt_negative"}, "slot_index": 0}], "properties": {"Run widget replace on values": false}, "widgets_values": [""], "color": "#322", "bgcolor": "#533"}, {"id": 7, "type": "PrimitiveNode", "pos": [-417, 329], "size": {"0": 436.1824951171875, "1": 145.88241577148438}, "flags": {}, "order": 7, "mode": 0, "outputs": [{"name": "STRING", "type": "STRING", "links": [11, 24, 47, 54], "slot_index": 0, "widget": {"name": "prompt"}}], "properties": {"Run widget replace on values": false}, "widgets_values": ["kid's drawing of a star, cel shaded"], "color": "#232", "bgcolor": "#353"}], "links": [[8, 3, 0, 1, 0, "STRING"], [11, 7, 0, 1, 2, "STRING"], [18, 3, 0, 16, 0, "*"], [20, 15, 0, 14, 1, "COMBO"], [22, 16, 0, 14, 0, "STRING"], [23, 1, 0, 14, 2, "STRING"], [24, 7, 0, 14, 3, "STRING"], [26, 18, 0, 17, 1, "COMBO"], [27, 15, 0, 18, 0, "*"], [28, 19, 0, 17, 0, "STRING"], [29, 16, 0, 19, 0, "*"], [31, 20, 0, 17, 3, "STRING"], [34, 22, 0, 24, 0, "MODEL"], [35, 22, 1, 24, 1, "CLIP"], [36, 22, 2, 24, 2, "VAE"], [37, 23, 0, 21, 1, "CONDITIONING"], [38, 17, 1, 26, 1, "STRING"], [39, 26, 0, 21, 2, "CONDITIONING"], [40, 28, 0, 31, 1, "STRING"], [41, 30, 0, 32, 1, "STRING"], [44, 33, 0, 28, 0, "*"], [45, 20, 0, 33, 0, "*"], [46, 29, 0, 30, 0, "*"], [47, 7, 0, 29, 0, "*"], [48, 31, 0, 27, 2, "CONDITIONING"], [49, 32, 0, 27, 1, "CONDITIONING"], [50, 34, 0, 36, 0, "LATENT"], [51, 14, 0, 17, 2, "STRING"], [54, 7, 0, 1, 3, "STRING"], [58, 1, 0, 42, 0, "STRING"], [59, 14, 0, 43, 0, "STRING"], [60, 17, 0, 44, 0, "STRING"], [74, 17, 0, 23, 1, "STRING"], [75, 2, 0, 1, 1, "COMBO"], [76, 2, 0, 3, 0, "COMBO"], [77, 2, 0, 15, 0, "*"], [78, 20, 0, 1, 4, "STRING"]], "groups": [], "config": {}, "extra": {}, "version": 0.4}