Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
Anime
Waifu
2D
nitrosocke
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Ghibli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Ghibli 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/Ghibli", 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
-
Update README.md
Verified signatureb30f964 -
Update README.md
Verified signaturebf7e66a -
Update README.md
Verified signature2e5a9e1 -
Update README.md
Verified signature0f68b54 -
Update README.md
Verified signatureabe6f64 -
Create README.md
Verified signature43840a6 -
Update model_index.json
Verified signature3eb03b5 -
Upload model_index.json
Verified signature2803f36 -
Delete model_index.json
Verified signature6c43e3e -
Update scheduler/scheduler_config.json
Verified signatureae44c1f -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (b28e7b2de46c50fcaa3526efbc3a35436d6ef503)cf02b3e -
file
Verified signaturedd1302c -
initial commit
Verified signature7f22e2a