Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Art
Sexy
Pinups
Girls
iamxenos
RIXYN
Barons
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/CocaCola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CocaCola 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/CocaCola", 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:
- affd3ac766390de35efcbcd2b74e7b327236e9b392da0f6ac0d783a5ae36fb98
- Size of remote file:
- 3.44 GB
- SHA256:
- cb579d08c860e548cd1d374a585dff01cdc39635ca8a70213cca82449c24874c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.