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", torch_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:
- d5f44e9b368b67cbfb05ab9ff22d359ab1750f81015510afa7aeac70c2f7a5ac
- Size of remote file:
- 492 MB
- SHA256:
- 7fb0cd623a2750a73a2a25a161e0601200f37e505c40731bdc43a837ae1d71f0
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