Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Base Model
Ikena
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Hassaku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Hassaku with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Hassaku", 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:
- 328366cc689c079e429478b8d10f3d53c92bfb7442440b9ec0df9d00c0d043db
- Size of remote file:
- 335 MB
- SHA256:
- 5780dabc26b840ecb1ab6f5dedf92a7cce81e05b0f6e886779ce74bc521b7c0e
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