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
- Draw Things
- DiffusionBee
- Xet hash:
- 6d4fe6cd17fde17855d75806f255cc711ca3de324cdb9ff6e1d25f758ad1e2b4
- Size of remote file:
- 335 MB
- SHA256:
- 748b0146bec8a50c4b27be9ccdca021d5bddee0fc56071d3be3c2220916519ca
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