Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Eagelaxis
Pavo
Instructions to use Yntec/Pavo-Mix-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Pavo-Mix-Diffusers 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/Pavo-Mix-Diffusers", 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:
- 7841d12709d914c1ed01299d8adc54eb728807e9619f495b8593bf0258df52f6
- Size of remote file:
- 335 MB
- SHA256:
- 31fef5fa5b3814b08002682045f776fc951ba2dacec7af6807018189516b121f
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