Auto-update: Sun Jun 30 08:36:43 PDT 2024

This commit is contained in:
sanj 2024-06-30 08:36:43 -07:00
parent dadd5421ea
commit ebf34c645b
6 changed files with 1005 additions and 489 deletions

View file

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View file

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"58",
0
],
"image": [
@ -236,7 +233,7 @@
},
"27": {
"inputs": {
"factor": 0.5,
"factor": 0.25,
"interpolation_mode": "bicubic",
"image": [
"30",
@ -280,62 +277,310 @@
},
"39": {
"inputs": {
"upscale_by": 2,
"seed": 687912408861107,
"steps": 20,
"cfg": 1.9000000000000001,
"sampler_name": "heun",
"scheduler": "sgm_uniform",
"denoise": 0.2,
"mode_type": "Linear",
"tile_width": 512,
"tile_height": 512,
"mask_blur": 8,
"tile_padding": 32,
"seam_fix_mode": "Band Pass",
"seam_fix_denoise": 1,
"seam_fix_width": 64,
"seam_fix_mask_blur": 8,
"seam_fix_padding": 16,
"force_uniform_tiles": true,
"tiled_decode": true,
"noise_seed": 690275685743412,
"steps": 16,
"cfg": 7.5,
"base_ratio": 0.85,
"denoise": 0.25,
"scaled_width": [
"60",
0
],
"scaled_height": [
"64",
0
],
"noise_offset": 1,
"refiner_strength": 1,
"softness": 0,
"base_model": [
"40",
0
],
"base_positive": [
"45",
0
],
"base_negative": [
"46",
0
],
"refiner_model": [
"42",
0
],
"refiner_positive": [
"43",
0
],
"refiner_negative": [
"44",
0
],
"image": [
"38",
0
],
"model": [
"4",
0
],
"positive": [
"6",
0
],
"negative": [
"23",
0
],
"vae": [
"4",
"41",
2
],
"sampler_name": [
"47",
0
],
"scheduler": [
"47",
1
],
"upscale_model": [
"40",
"58",
0
]
},
"class_type": "UltimateSDUpscale",
"class_type": "SeargeSDXLImage2ImageSampler2",
"_meta": {
"title": "Ultimate SD Upscale"
"title": "Image2Image Sampler v2 (Searge)"
}
},
"40": {
"inputs": {
"model_name": "RealESRGAN_x2.pth"
"lora_name": "SDXL/SDXLLandskaper_v1-000003.safetensors",
"strength_model": 1,
"strength_clip": 1,
"model": [
"48",
0
],
"clip": [
"48",
1
]
},
"class_type": "LoraLoader",
"_meta": {
"title": "Load LoRA"
}
},
"41": {
"inputs": {
"ckpt_name": "SDXL/realismEngineSDXL_v20VAE.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"42": {
"inputs": {
"ckpt_name": "SDXL/sdxl_refiner_1.0.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"43": {
"inputs": {
"text": [
"50",
0
],
"clip": [
"42",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"44": {
"inputs": {
"text": [
"51",
0
],
"clip": [
"42",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"45": {
"inputs": {
"text": [
"50",
0
],
"clip": [
"40",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"46": {
"inputs": {
"text": [
"51",
0
],
"clip": [
"40",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"47": {
"inputs": {
"sampler_name": "dpmpp_2m_sde",
"scheduler": "karras"
},
"class_type": "SeargeSamplerInputs",
"_meta": {
"title": "Sampler Settings"
}
},
"48": {
"inputs": {
"lora_name": "SDXL/add-detail-xl.safetensors",
"strength_model": 1,
"strength_clip": 1,
"model": [
"41",
0
],
"clip": [
"41",
1
]
},
"class_type": "LoraLoader",
"_meta": {
"title": "Load LoRA"
}
},
"50": {
"inputs": {
"text": "API_PrePrompt"
},
"class_type": "JWStringMultiline",
"_meta": {
"title": "String (Multiline)"
}
},
"51": {
"inputs": {
"text": "API_NegativePrompt"
},
"class_type": "JWStringMultiline",
"_meta": {
"title": "String (Multiline)"
}
},
"52": {
"inputs": {
"image": [
"38",
0
]
},
"class_type": "Image Size to Number",
"_meta": {
"title": "Image Size to Number"
}
},
"55": {
"inputs": {
"op": "a * b",
"a": [
"52",
2
],
"b": [
"65",
0
],
"c": 0
},
"class_type": "SeargeFloatMath",
"_meta": {
"title": "Float Math"
}
},
"58": {
"inputs": {
"model_name": "4x_foolhardy_Remacri.pth"
},
"class_type": "UpscaleModelLoader",
"_meta": {
"title": "Load Upscale Model"
}
},
"59": {
"inputs": {
"op": "a * b",
"a": [
"52",
3
],
"b": [
"65",
0
],
"c": 0
},
"class_type": "SeargeFloatMath",
"_meta": {
"title": "Float Math"
}
},
"60": {
"inputs": {
"value": [
"55",
0
],
"mode": "round"
},
"class_type": "JWFloatToInteger",
"_meta": {
"title": "Float to Integer"
}
},
"64": {
"inputs": {
"value": [
"59",
0
],
"mode": "round"
},
"class_type": "JWFloatToInteger",
"_meta": {
"title": "Float to Integer"
}
},
"65": {
"inputs": {
"value": 2
},
"class_type": "JWFloat",
"_meta": {
"title": "Float"
}
}
}

View file

@ -1,281 +0,0 @@
{
"4": {
"inputs": {
"ckpt_name": "Other/dreamshaperXL_v21TurboDPMSDE.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"6": {
"inputs": {
"text": "API_PrePrompt",
"clip": [
"4",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"7": {
"inputs": {
"text": "API_NegativePrompt",
"clip": [
"4",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"8": {
"inputs": {
"samples": [
"13",
0
],
"vae": [
"4",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"9": {
"inputs": {
"filename_prefix": "API_",
"images": [
"27",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"11": {
"inputs": {
"batch_size": 1,
"width": 1023,
"height": 1024,
"resampling": "nearest-exact",
"X": 0,
"Y": 0,
"Z": 0,
"evolution": 0,
"frame": 0,
"scale": 5,
"octaves": 8,
"persistence": 1.5,
"lacunarity": 2,
"exponent": 4,
"brightness": 0,
"contrast": 0,
"clamp_min": 0,
"clamp_max": 1,
"seed": 490162938389882,
"device": "cpu",
"optional_vae": [
"4",
2
]
},
"class_type": "Perlin Power Fractal Latent (PPF Noise)",
"_meta": {
"title": "Perlin Power Fractal Noise 🦚"
}
},
"13": {
"inputs": {
"seed": 697312143874418,
"steps": 8,
"cfg": 1.6,
"sampler_name": "dpmpp_2m_sde",
"scheduler": "karras",
"start_at_step": 0,
"end_at_step": 10000,
"enable_denoise": "false",
"denoise": 1,
"add_noise": "enable",
"return_with_leftover_noise": "disable",
"noise_type": "brownian_fractal",
"noise_blending": "cuberp",
"noise_mode": "additive",
"scale": 1,
"alpha_exponent": 1,
"modulator": 1,
"sigma_tolerance": 0.5,
"boost_leading_sigma": "false",
"guide_use_noise": "true",
"model": [
"4",
0
],
"positive": [
"20",
0
],
"negative": [
"7",
0
],
"latent_image": [
"11",
0
],
"ppf_settings": [
"14",
0
],
"ch_settings": [
"15",
0
]
},
"class_type": "Power KSampler Advanced (PPF Noise)",
"_meta": {
"title": "Power KSampler Advanced 🦚"
}
},
"14": {
"inputs": {
"X": 0,
"Y": 0,
"Z": 0,
"evolution": 0,
"frame": 0,
"scale": 5,
"octaves": 8,
"persistence": 1.5,
"lacunarity": 2,
"exponent": 4,
"brightness": 0,
"contrast": 0
},
"class_type": "Perlin Power Fractal Settings (PPF Noise)",
"_meta": {
"title": "Perlin Power Fractal Settings 🦚"
}
},
"15": {
"inputs": {
"frequency": 320,
"octaves": 12,
"persistence": 1.5,
"num_colors": 16,
"color_tolerance": 0.05,
"angle_degrees": 45,
"brightness": 0,
"contrast": 0,
"blur": 2.5
},
"class_type": "Cross-Hatch Power Fractal Settings (PPF Noise)",
"_meta": {
"title": "Cross-Hatch Power Fractal Settings 🦚"
}
},
"20": {
"inputs": {
"conditioning_1": [
"6",
0
],
"conditioning_2": [
"21",
0
]
},
"class_type": "ConditioningCombine",
"_meta": {
"title": "Conditioning (Combine)"
}
},
"21": {
"inputs": {
"text": "API_StylePrompt",
"clip": [
"4",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"23": {
"inputs": {
"conditioning": [
"7",
0
]
},
"class_type": "ConditioningZeroOut",
"_meta": {
"title": "ConditioningZeroOut"
}
},
"24": {
"inputs": {
"model_name": "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth"
},
"class_type": "UpscaleModelLoader",
"_meta": {
"title": "Load Upscale Model"
}
},
"26": {
"inputs": {
"upscale_model": [
"24",
0
],
"image": [
"8",
0
]
},
"class_type": "ImageUpscaleWithModel",
"_meta": {
"title": "Upscale Image (using Model)"
}
},
"27": {
"inputs": {
"factor": 0.5,
"interpolation_mode": "bicubic",
"image": [
"30",
0
]
},
"class_type": "JWImageResizeByFactor",
"_meta": {
"title": "Image Resize by Factor"
}
},
"30": {
"inputs": {
"blur_radius": 3,
"sigma": 1.5,
"image": [
"26",
0
]
},
"class_type": "ImageBlur",
"_meta": {
"title": "ImageBlur"
}
}
}

View file

@ -267,7 +267,7 @@ async def generate_banner(dt, location: Location = None, forecast: str = None, m
location = locations[0]
if not forecast:
forecast = await update_dn_weather(date_time, False, location.latitude, location.longitude)
prompt = await generate_context(date_time, location, forecast, mood, other_context)
L.DEBUG(f"Prompt: {prompt}")
final_path = await sd.workflow(prompt, scene=OBSIDIAN_BANNER_SCENE, destination_path=destination_path)
@ -333,6 +333,8 @@ async def generate_context(date_time, location: Location, forecast: str, mood: s
prompt = "Generate an aesthetically appealing banner image for a daily note that helps to visualize the following scene information: "
prompt += "\n".join([display_name, forecast, mood, other_context])
return prompt
async def get_note(date_time: dt_datetime):

View file

@ -235,6 +235,7 @@ def get_scene(scene):
SD_CONFIG = yaml.safe_load(SD_CONFIG_file)
for scene_data in SD_CONFIG['scenes']:
if scene_data['scene'] == scene:
L.DEBUG(f"Found scene for \"{scene}\".")
return scene_data
return None
@ -251,8 +252,13 @@ def get_matching_scene(prompt):
count = sum(1 for trigger in sc['triggers'] if trigger in prompt_lower)
if count > max_count:
max_count = count
L.DEBUG(f"Found better-matching scene: the prompt contains {max_count} words that match triggers for {scene_data.get('name')}!")
scene_data = sc
return scene_data if scene_data else SD_CONFIG['scenes'][0] # fall back on first scene, which should be an appropriate default scene.
if scene_data:
return scene_data
else:
L.DEBUG(f"No matching scenes found, falling back to default scene.")
return SD_CONFIG['scenes'][0]