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", torch_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:
- 313ae30e3db0576341ca6379d53208fed7f4994bd770ee086802adc575e17c97
- Size of remote file:
- 492 MB
- SHA256:
- 1a033e91f7405d34149e2147a1fb9259ac98ca5f34f05782c8e58729afaef3d4
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