Instructions to use YiYiXu/modular-loader-t2i-20260227 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/modular-loader-t2i-20260227 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("YiYiXu/modular-loader-t2i-20260227") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 2,962 Bytes
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"_blocks_class_name": "StableDiffusionXLAutoBlocks",
"_class_name": "StableDiffusionXLModularPipeline",
"_diffusers_version": "0.37.0.dev0",
"controlnet": [
null,
null,
{
"pretrained_model_name_or_path": null,
"revision": null,
"subfolder": "",
"type_hint": [
"diffusers",
"ControlNetUnionModel"
],
"variant": null
}
],
"force_zeros_for_empty_prompt": true,
"image_encoder": [
null,
null,
{
"pretrained_model_name_or_path": null,
"revision": null,
"subfolder": "",
"type_hint": [
"transformers",
"CLIPVisionModelWithProjection"
],
"variant": null
}
],
"requires_aesthetics_score": false,
"scheduler": [
"diffusers",
"EulerDiscreteScheduler",
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"revision": null,
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"EulerDiscreteScheduler"
],
"variant": null
}
],
"text_encoder": [
"transformers",
"CLIPTextModel",
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"revision": null,
"subfolder": "text_encoder",
"type_hint": [
"transformers",
"CLIPTextModel"
],
"variant": null
}
],
"text_encoder_2": [
"transformers",
"CLIPTextModelWithProjection",
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"revision": null,
"subfolder": "text_encoder_2",
"type_hint": [
"transformers",
"CLIPTextModelWithProjection"
],
"variant": null
}
],
"tokenizer": [
"transformers",
"CLIPTokenizer",
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"revision": null,
"subfolder": "tokenizer",
"type_hint": [
"transformers",
"CLIPTokenizer"
],
"variant": null
}
],
"tokenizer_2": [
"transformers",
"CLIPTokenizer",
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"revision": null,
"subfolder": "tokenizer_2",
"type_hint": [
"transformers",
"CLIPTokenizer"
],
"variant": null
}
],
"unet": [
"diffusers",
"UNet2DConditionModel",
{
"pretrained_model_name_or_path": "RunDiffusion/Juggernaut-XL-v9",
"revision": null,
"subfolder": "unet",
"type_hint": [
"diffusers",
"UNet2DConditionModel"
],
"variant": "fp16"
}
],
"vae": [
"diffusers",
"AutoencoderKL",
{
"pretrained_model_name_or_path": "madebyollin/sdxl-vae-fp16-fix",
"revision": null,
"subfolder": null,
"type_hint": [
"diffusers",
"AutoencoderKL"
],
"variant": null
}
]
}
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