Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
photorealistic
general
art
zoidbb
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/WoopWoopRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WoopWoopRemix 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/WoopWoopRemix", 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:
- 077aea9412e65db3e410525deded7c0facaf5db871cc754b4580304ae8941868
- Size of remote file:
- 167 MB
- SHA256:
- e7e22cb98deee396f72216bb61bf7be00b4b4d809abb374f8aa1fddfebf4752c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.