Instructions to use igorshmel/ayiradarik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/ayiradarik 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/ayiradarik", 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:
- 1e6f143980a347804bec0a7555770b15946ad3b8542e9c0a110a6fc9b71d0c82
- Size of remote file:
- 492 MB
- SHA256:
- e71663948e9b9ed07ed1cd61f90a9f83c8e14033eb86bf7ff64d4a46cba7a0d6
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