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sdnext/modules/shared_items.py
Vladimir Mandic 86e55ef11d rename vae none to default
Signed-off-by: Vladimir Mandic <mandic00@live.com>
2025-03-16 12:27:41 -04:00

128 lines
5.7 KiB
Python

def postprocessing_scripts():
import modules.scripts
return modules.scripts.scripts_postproc.scripts
def sd_vae_items():
import modules.sd_vae
return ["Automatic", "Default"] + list(modules.sd_vae.vae_dict)
def sd_taesd_items():
import modules.sd_vae_taesd
return list(modules.sd_vae_taesd.TAESD_MODELS.keys()) + list(modules.sd_vae_taesd.CQYAN_MODELS.keys())
def refresh_vae_list():
import modules.sd_vae
modules.sd_vae.refresh_vae_list()
def sd_unet_items():
import modules.sd_unet
return ["None"] + list(modules.sd_unet.unet_dict)
def refresh_unet_list():
import modules.sd_unet
modules.sd_unet.refresh_unet_list()
def sd_te_items():
import modules.model_te
predefined = ['None', 'T5 FP4', 'T5 FP8', 'T5 INT8', 'T5 QINT8', 'T5 FP16']
return predefined + list(modules.model_te.te_dict)
def refresh_te_list():
import modules.model_te
modules.model_te.refresh_te_list()
def list_crossattention(diffusers=False):
if diffusers:
return [
"Disabled",
"Scaled-Dot-Product",
"xFormers",
"Batch matrix-matrix",
"Split attention",
"Dynamic Attention BMM"
]
else:
return [
"Disabled",
"Scaled-Dot-Product",
"xFormers",
"Doggettx's",
"InvokeAI's",
"Sub-quadratic",
"Split attention"
]
def get_pipelines():
import diffusers
from installer import log
pipelines = { # note: not all pipelines can be used manually as they require prior pipeline next to decoder pipeline
'Autodetect': None,
'Stable Diffusion': getattr(diffusers, 'StableDiffusionPipeline', None),
'Stable Diffusion 2': getattr(diffusers, 'StableDiffusionPipeline', None),
'Stable Diffusion Inpaint': getattr(diffusers, 'StableDiffusionInpaintPipeline', None),
'Stable Diffusion Img2Img': getattr(diffusers, 'StableDiffusionImg2ImgPipeline', None),
'Stable Diffusion Instruct': getattr(diffusers, 'StableDiffusionInstructPix2PixPipeline', None),
'Stable Diffusion Upscale': getattr(diffusers, 'StableDiffusionUpscalePipeline', None),
'Stable Diffusion XL': getattr(diffusers, 'StableDiffusionXLPipeline', None),
'Stable Diffusion XL Refiner': getattr(diffusers, 'StableDiffusionXLImg2ImgPipeline', None),
'Stable Diffusion XL Img2Img': getattr(diffusers, 'StableDiffusionXLImg2ImgPipeline', None),
'Stable Diffusion XL Inpaint': getattr(diffusers, 'StableDiffusionXLInpaintPipeline', None),
'Stable Diffusion XL Instruct': getattr(diffusers, 'StableDiffusionXLInstructPix2PixPipeline', None),
'Latent Consistency Model': getattr(diffusers, 'LatentConsistencyModelPipeline', None),
'PixArt-Alpha': getattr(diffusers, 'PixArtAlphaPipeline', None),
'UniDiffuser': getattr(diffusers, 'UniDiffuserPipeline', None),
'Wuerstchen': getattr(diffusers, 'WuerstchenCombinedPipeline', None),
'Kandinsky 2.1': getattr(diffusers, 'KandinskyPipeline', None),
'Kandinsky 2.2': getattr(diffusers, 'KandinskyV22Pipeline', None),
'Kandinsky 3': getattr(diffusers, 'Kandinsky3Pipeline', None),
'DeepFloyd IF': getattr(diffusers, 'IFPipeline', None),
'Custom Diffusers Pipeline': getattr(diffusers, 'DiffusionPipeline', None),
'InstaFlow': getattr(diffusers, 'StableDiffusionPipeline', None), # dynamically redefined and loaded in sd_models.load_diffuser
'SegMoE': getattr(diffusers, 'StableDiffusionPipeline', None), # dynamically redefined and loaded in sd_models.load_diffuser
'Kolors': getattr(diffusers, 'KolorsPipeline', None),
'AuraFlow': getattr(diffusers, 'AuraFlowPipeline', None),
'CogView3': getattr(diffusers, 'CogView3PlusPipeline', None),
'CogView4': getattr(diffusers, 'CogView4Pipeline', None),
'Stable Cascade': getattr(diffusers, 'StableCascadeCombinedPipeline', None),
'PixArt-Sigma': getattr(diffusers, 'PixArtSigmaPipeline', None),
'HunyuanDiT': getattr(diffusers, 'HunyuanDiTPipeline', None),
'Stable Diffusion 3': getattr(diffusers, 'StableDiffusion3Pipeline', None),
'Stable Diffusion 3 Img2Img': getattr(diffusers, 'StableDiffusion3Img2ImgPipeline', None),
'Lumina-Next': getattr(diffusers, 'LuminaText2ImgPipeline', None),
'FLUX': getattr(diffusers, 'FluxPipeline', None),
'Sana': getattr(diffusers, 'SanaPAGPipeline', None),
}
if hasattr(diffusers, 'OnnxStableDiffusionPipeline'):
onnx_pipelines = {
'ONNX Stable Diffusion': getattr(diffusers, 'OnnxStableDiffusionPipeline', None),
'ONNX Stable Diffusion Img2Img': getattr(diffusers, 'OnnxStableDiffusionImg2ImgPipeline', None),
'ONNX Stable Diffusion Inpaint': getattr(diffusers, 'OnnxStableDiffusionInpaintPipeline', None),
'ONNX Stable Diffusion Upscale': getattr(diffusers, 'OnnxStableDiffusionUpscalePipeline', None),
}
pipelines.update(onnx_pipelines)
if hasattr(diffusers, 'OnnxStableDiffusionXLPipeline'):
onnx_pipelines = {
'ONNX Stable Diffusion XL': getattr(diffusers, 'OnnxStableDiffusionXLPipeline', None),
'ONNX Stable Diffusion XL Img2Img': getattr(diffusers, 'OnnxStableDiffusionXLImg2ImgPipeline', None),
}
pipelines.update(onnx_pipelines)
# items that may rely on diffusers dev version
"""
if hasattr(diffusers, 'FluxPipeline'):
pipelines['FLUX'] = getattr(diffusers, 'FluxPipeline', None)
"""
for k, v in pipelines.items():
if k != 'Autodetect' and v is None:
log.error(f'Not available: pipeline={k} diffusers={diffusers.__version__} path={diffusers.__file__}')
return pipelines