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:
- 4dba7f95c900e72c355e0e04b15ca595b9b9614309360cdf8a2c5a51cfd48e73
- Size of remote file:
- 3.44 GB
- SHA256:
- 19a004b9b55e483910c612863f4f2722942ab20b1d8e0d0dfff6bbe3e824881f
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