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
- Draw Things
- DiffusionBee
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]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/).
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