Instructions to use ziewoo/anilora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ziewoo/anilora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hogiahien/counterfeit-v30-edited", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ziewoo/anilora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hogiahien/counterfeit-v30-edited", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ziewoo/anilora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Error:"widget[0].text" must be a string
YAML Metadata Error:"instance_prompt" is not allowed to be empty
README.md exists but content is empty.
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Model tree for ziewoo/anilora
Base model
hogiahien/counterfeit-v30-edited