Instructions to use ddPn08/unknownx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ddPn08/unknownx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ddPn08/unknownx", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, 1girl, moriya suwako, solo, brown headwear, blonde hair, medium hair, bangs, yellow eyes, purple vest, white shirt, frog print, outdoors, lake, rain, partially submerged" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: other
thumbnail: https://huggingface.co/ddPn08/unknownx/resolve/main/images/main.png
tags:
- stable-diffusion
- text-to-image
- safetensors
- diffusers
inference: true
widget:
- text: >-
masterpiece, best quality, 1girl, moriya suwako, solo, brown headwear,
blonde hair, medium hair, bangs, yellow eyes, purple vest, white shirt,
frog print, outdoors, lake, rain, partially submerged
example_title: example
language:
- en
library_name: diffusers
UnknownX
Unknown image generation model.
meta.yaml
models:
unknownx:
base: sd1.4
merge: {}
network_module:
- lora
- lycoris(algo=lora)
- lycoris(algo=loha)
dreambooth: true
License
UnknownX is released under the Fair AI Public License 1.0-SD (https://freedevproject.org/faipl-1.0-sd/).
