Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
art
artistic
dreambooth
Instructions to use zuleo/spop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zuleo/spop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zuleo/spop", 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:
- bf92c440792ed5ddfd667630922ad949810fc3b851ea8f81289cd2b3879a0ae6
- Size of remote file:
- 492 MB
- SHA256:
- 120f3d1a0b7fe5a86b913dd7e7c97d0e729bd71c94314dae174866c9479b5675
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