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:
- 2cfd1757ee62fb96ed0a98171ecc4b5b5c3cba5d81b1548131a08190313d1dd3
- Size of remote file:
- 3 GB
- SHA256:
- eb66e9f9256a1de6849712b0da467915b30fad26003a8aada6b60b6266d3a063
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