Instructions to use BestWishYsh/Helios-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/Helios-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BestWishYsh/Helios-Base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,692 Bytes
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"_blocks_class_name": "HeliosAutoBlocks",
"_class_name": "HeliosModularPipeline",
"_diffusers_version": "0.38.0.dev0",
"guider": [
"diffusers",
"ClassifierFreeGuidance"
],
"scheduler": [
"diffusers",
"HeliosScheduler",
{
"pretrained_model_name_or_path": "BestWishYsh/Helios-Base",
"revision": null,
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"HeliosScheduler"
],
"variant": null
}
],
"text_encoder": [
"transformers",
"UMT5EncoderModel",
{
"pretrained_model_name_or_path": "BestWishYsh/Helios-Base",
"revision": null,
"subfolder": "text_encoder",
"type_hint": [
"transformers",
"UMT5EncoderModel"
],
"variant": null
}
],
"tokenizer": [
"transformers",
"T5Tokenizer",
{
"pretrained_model_name_or_path": "BestWishYsh/Helios-Base",
"revision": null,
"subfolder": "tokenizer",
"type_hint": [
"transformers",
"T5Tokenizer"
],
"variant": null
}
],
"transformer": [
"diffusers",
"HeliosTransformer3DModel",
{
"pretrained_model_name_or_path": "BestWishYsh/Helios-Base",
"revision": null,
"subfolder": "transformer",
"type_hint": [
"diffusers",
"HeliosTransformer3DModel"
],
"variant": null
}
],
"vae": [
"diffusers",
"AutoencoderKLWan",
{
"pretrained_model_name_or_path": "BestWishYsh/Helios-Base",
"revision": null,
"subfolder": "vae",
"type_hint": [
"diffusers",
"AutoencoderKLWan"
],
"variant": null
}
]
}
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