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
Download text_encoder/model.safetensors from Yntec/Cheesecake: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/Cheesecake/resolve/c85a37bea1c0aefded170f3487acb5564c0443cf/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/Cheesecake@c85a37bea1c0aefded170f3487acb5564c0443cf/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/Cheesecake/resolve/c85a37bea1c0aefded170f3487acb5564c0443cf/text_encoder/model.safetensors
492 MB
- Xet hash:
- 54371ddc65de3d9009ca0911e85975061a1df86bf40f88f6c5fe53263a6cf75d
- Size of remote file:
- 492 MB
- SHA256:
- cbfdbc4d1124a826f3220fa979cb06c9323f3ae05d1573e25e6878bae2b314dc
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