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
Commit History
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Delete tokenizer/added_tokens.json
fd39a96 -
Adding `diffusers` weights of this model (#2)
- Adding `diffusers` weights of this model (5216eae82fbe94d8d00ff41e70e5a5dab353cece)b41c078
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Delete tokenizer/added_tokens.json
a536373 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (947725f0fd6e501755e221bd548b9e7c39a112c4)296fd11