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
Download vae/diffusion_pytorch_model.safetensors from Yntec/MapleSyrup: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/MapleSyrup/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/MapleSyrup/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/MapleSyrup/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- c47a5601f9cb1b81194036e009c3116d9d548359ee73c076ddee75b8ae88874a
- Size of remote file:
- 335 MB
- SHA256:
- 4fc5ac4027de698132e24642517551d9dc8cba295b486b17104d2414808e007d
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