Instructions to use roshikhan301/NEWONE1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roshikhan301/NEWONE1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("roshikhan301/NEWONE1", 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
| from pydantic import BaseModel, Field | |
| from invokeai.app.invocations.fields import FieldDescriptions | |
| class FreeUConfig(BaseModel): | |
| """ | |
| Configuration for the FreeU hyperparameters. | |
| - https://huggingface.co/docs/diffusers/main/en/using-diffusers/freeu | |
| - https://github.com/ChenyangSi/FreeU | |
| """ | |
| s1: float = Field(ge=-1, le=3, description=FieldDescriptions.freeu_s1) | |
| s2: float = Field(ge=-1, le=3, description=FieldDescriptions.freeu_s2) | |
| b1: float = Field(ge=-1, le=3, description=FieldDescriptions.freeu_b1) | |
| b2: float = Field(ge=-1, le=3, description=FieldDescriptions.freeu_b2) | |