Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
art
illustration
advokat
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/MapleSyrup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MapleSyrup 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/MapleSyrup", 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:
- b4f487ef0ae08cc7afd792d1425180440cc58f44cdb995e18465d3d5507df971
- Size of remote file:
- 1.72 GB
- SHA256:
- 761326fb00313efb06110f1fd250eb96a80dcf570f26bafb994267940cff8a9f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.