Instructions to use igorshmel/arisha_pencil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/arisha_pencil with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igorshmel/arisha_pencil", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 613981ac4e47071be538026495e06c1ce3cc25fff8c3ddc09d98a29cd48867a4
- Size of remote file:
- 492 MB
- SHA256:
- 0bf1a512692555f0f5aa882dce7192ee7e051dfbdb5e21d1f7a692b34c94f55d
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