Instructions to use igorshmel/elytsgnihctah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/elytsgnihctah 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/elytsgnihctah", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9b71990a3538a038565d8ae7740d93ecdbd49fade8eb0d0ff8d9a1a9d1fa0609
- Size of remote file:
- 246 MB
- SHA256:
- 6401aa98c97fb259983ab6ad3b69b07fd5b2ba4af9b46adaf865241781905e17
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