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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6886d783762b79931f27fd6ee5ecb1738ed52105097e9c45cdf915855d927dec
- Size of remote file:
- 167 MB
- SHA256:
- 1449178401951a158f9a4326edcefc518d2e9d6ac491e0986e5ddf4ebeb2bf72
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