Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
cartoon
art
illustration
cute
advokat
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Cheesecake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Cheesecake 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/Cheesecake", 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
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Download README.md from Yntec/Cheesecake: direct link, hf CLI and curl.
- Browser
- Download file 294 Bytes
-
https://huggingface.co/Yntec/Cheesecake/resolve/2b61a2fcb1e206a23c6a7ea028190c772ffcd3f7/README.md
- Command line
-
hf download hf://Yntec/Cheesecake@2b61a2fcb1e206a23c6a7ea028190c772ffcd3f7/README.md
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curl -L -o README.md https://huggingface.co/Yntec/Cheesecake/resolve/2b61a2fcb1e206a23c6a7ea028190c772ffcd3f7/README.md
294 Bytes
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
