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imaginAIry/imaginairy/config.py

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from dataclasses import dataclass
DEFAULT_MODEL = "SD-1.5"
DEFAULT_SAMPLER = "k_dpmpp_2m"
DEFAULT_NEGATIVE_PROMPT = (
"Ugly, duplication, duplicates, mutilation, deformed, mutilated, mutation, twisted body, disfigured, bad anatomy, "
"out of frame, extra fingers, mutated hands, "
"poorly drawn hands, extra limbs, malformed limbs, missing arms, extra arms, missing legs, extra legs, mutated hands, "
"extra hands, fused fingers, missing fingers, extra fingers, long neck, small head, closed eyes, rolling eyes, "
"weird eyes, smudged face, blurred face, poorly drawn face, mutation, mutilation, cloned face, strange mouth, "
"grainy, blurred, blurry, writing, calligraphy, signature, text, watermark, bad art,"
)
SPLITMEM_ENABLED = False
@dataclass
class ModelConfig:
description: str
short_name: str
config_path: str
weights_url: str
default_image_size: int
weights_url_full: str = None
forced_attn_precision: str = "default"
default_negative_prompt: str = DEFAULT_NEGATIVE_PROMPT
alias: str = None
midas_url = "https://github.com/intel-isl/DPT/releases/download/1_0/dpt_hybrid-midas-501f0c75.pt"
MODEL_CONFIGS = [
ModelConfig(
description="Stable Diffusion 1.4",
short_name="SD-1.4",
config_path="configs/stable-diffusion-v1.yaml",
weights_url="https://huggingface.co/bstddev/sd-v1-4/resolve/77221977fa8de8ab8f36fac0374c120bd5b53287/sd-v1-4.ckpt",
default_image_size=512,
alias="sd14",
),
ModelConfig(
description="Stable Diffusion 1.5",
short_name="SD-1.5",
config_path="configs/stable-diffusion-v1.yaml",
weights_url="https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/889b629140e71758e1e0006e355c331a5744b4bf/v1-5-pruned-emaonly.ckpt",
weights_url_full="https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/889b629140e71758e1e0006e355c331a5744b4bf/v1-5-pruned.ckpt",
default_image_size=512,
alias="sd15",
),
ModelConfig(
description="Stable Diffusion 1.5 - Inpainting",
short_name="SD-1.5-inpaint",
config_path="configs/stable-diffusion-v1-inpaint.yaml",
weights_url="https://huggingface.co/julienacquaviva/inpainting/resolve/2155ff7fe38b55f4c0d99c2f1ab9b561f8311ca7/sd-v1-5-inpainting.ckpt",
default_image_size=512,
alias="sd15in",
),
ModelConfig(
description="Stable Diffusion 2.0 - bad at making people",
short_name="SD-2.0",
config_path="configs/stable-diffusion-v2-inference.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-base/resolve/main/512-base-ema.ckpt",
default_image_size=512,
alias="sd20",
),
ModelConfig(
description="Stable Diffusion 2.0 - Inpainting",
short_name="SD-2.0-inpaint",
config_path="configs/stable-diffusion-v2-inpainting-inference.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/resolve/main/512-inpainting-ema.ckpt",
default_image_size=512,
alias="sd20in",
),
ModelConfig(
description="Stable Diffusion 2.0 v - 768x768 - bad at making people",
short_name="SD-2.0-v",
config_path="configs/stable-diffusion-v2-inference-v.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2/resolve/main/768-v-ema.ckpt",
default_image_size=768,
alias="sd20v",
),
ModelConfig(
description="Stable Diffusion 2.0 - Depth",
short_name="SD-2.0-depth",
config_path="configs/stable-diffusion-v2-midas-inference.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-depth/resolve/main/512-depth-ema.ckpt",
default_image_size=512,
alias="sd20dep",
),
ModelConfig(
description="Stable Diffusion 2.1",
short_name="SD-2.1",
config_path="configs/stable-diffusion-v2-inference.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.ckpt",
default_image_size=512,
alias="sd21",
),
ModelConfig(
description="Stable Diffusion 2.1 - Inpainting",
short_name="SD-2.1-inpaint",
config_path="configs/stable-diffusion-v2-inpainting-inference.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/resolve/main/512-inpainting-ema.ckpt",
default_image_size=512,
alias="sd21in",
),
ModelConfig(
description="Stable Diffusion 2.1 v - 768x768",
short_name="SD-2.1-v",
config_path="configs/stable-diffusion-v2-inference-v.yaml",
weights_url="https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.ckpt",
default_image_size=768,
forced_attn_precision="fp32",
alias="sd21v",
),
ModelConfig(
description="Instruct Pix2Pix - Photo Editing",
short_name="instruct-pix2pix",
config_path="configs/instruct-pix2pix.yaml",
weights_url="https://huggingface.co/imaginairy/instruct-pix2pix/resolve/ea0009b3d0d4888f410a40bd06d69516d0b5a577/instruct-pix2pix-00-22000-pruned.ckpt",
default_image_size=512,
default_negative_prompt="",
alias="edit",
),
ModelConfig(
description="OpenJourney V1",
short_name="openjourney-v1",
config_path="configs/stable-diffusion-v1.yaml",
weights_url="https://huggingface.co/prompthero/openjourney/resolve/7428477dad893424c92f6ea1cc29d45f6d1448c1/mdjrny-v4.safetensors",
default_image_size=512,
default_negative_prompt="",
alias="oj1",
),
ModelConfig(
description="OpenJourney V2",
short_name="openjourney-v2",
config_path="configs/stable-diffusion-v1.yaml",
weights_url="https://huggingface.co/prompthero/openjourney-v2/resolve/47257274a40e93dab7fbc0cd2cfd5f5704cfeb60/openjourney-v2.ckpt",
default_image_size=512,
default_negative_prompt="",
alias="oj2",
),
]
MODEL_CONFIG_SHORTCUTS = {m.short_name: m for m in MODEL_CONFIGS}
for m in MODEL_CONFIGS:
if m.alias:
MODEL_CONFIG_SHORTCUTS[m.alias] = m
MODEL_CONFIG_SHORTCUTS["openjourney"] = MODEL_CONFIG_SHORTCUTS["openjourney-v2"]
MODEL_CONFIG_SHORTCUTS["oj"] = MODEL_CONFIG_SHORTCUTS["openjourney-v2"]
MODEL_SHORT_NAMES = sorted(MODEL_CONFIG_SHORTCUTS.keys())
@dataclass
class ControlNetConfig:
short_name: str
control_type: str
config_path: str
weights_url: str
alias: str = None
CONTROLNET_CONFIGS = [
ControlNetConfig(
short_name="canny15",
control_type="canny",
config_path="configs/control-net-v15.yaml",
weights_url="https://huggingface.co/imaginairy/controlnet/resolve/df27095611818a31c20046e10a3617c66df717b0/controlnet15_diff_canny.safetensors",
alias="canny",
),
ControlNetConfig(
short_name="depth15",
control_type="depth",
config_path="configs/control-net-v15.yaml",
weights_url="https://huggingface.co/imaginairy/controlnet/resolve/df27095611818a31c20046e10a3617c66df717b0/controlnet15_diff_depth.safetensors",
alias="depth",
),
ControlNetConfig(
short_name="normal15",
control_type="normal",
config_path="configs/control-net-v15.yaml",
weights_url="https://huggingface.co/imaginairy/controlnet/resolve/7f591ca101c550e94eb6c221b0b71915a247f244/controlnet15_diff_normal.safetensors",
alias="normal",
),
ControlNetConfig(
short_name="hed15",
control_type="hed",
config_path="configs/control-net-v15.yaml",
weights_url="https://huggingface.co/imaginairy/controlnet/resolve/df27095611818a31c20046e10a3617c66df717b0/controlnet15_diff_hed.safetensors",
alias="hed",
),
ControlNetConfig(
short_name="openpose15",
control_type="openpose",
config_path="configs/control-net-v15.yaml",
weights_url="https://huggingface.co/imaginairy/controlnet/resolve/7f591ca101c550e94eb6c221b0b71915a247f244/controlnet15_diff_openpose.safetensors",
alias="openpose",
),
]
CONTROLNET_CONFIG_SHORTCUTS = {m.short_name: m for m in CONTROLNET_CONFIGS}
for m in CONTROLNET_CONFIGS:
if m.alias:
CONTROLNET_CONFIG_SHORTCUTS[m.alias] = m
SAMPLER_TYPE_OPTIONS = [
"plms",
"ddim",
"k_dpm_fast",
"k_dpm_adaptive",
"k_lms",
"k_dpm_2",
"k_dpm_2_a",
"k_dpmpp_2m",
"k_dpmpp_2s_a",
"k_euler",
"k_euler_a",
"k_heun",
]
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