Instructions to use guumaster/eyyes-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guumaster/eyyes-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("guumaster/eyyes-diffusion", 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:
- 4078a0eda5a87cf1a062273c062adf1dcf27220a67135078615b93b0021263d4
- Size of remote file:
- 3.44 GB
- SHA256:
- f25edef0cc0ef76ed75c529ba18eeaf432b0727560025d6fa4a964ed8d6875b7
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