Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Style
HuyNguyen
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ProjectKawai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ProjectKawai 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/ProjectKawai", 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:
- 21ecbd6fa4ebc90de2d41eecab09a2d75530482a41b99ae0b734303094112958
- Size of remote file:
- 492 MB
- SHA256:
- fa411631d2f567b4690138decc63b37f4a3c4bf474e52b92a1fa2df0f1eff5de
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