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:
- 8ea3533c0cbdb41db118d67f96ca190318a2340ee111d1c6466dd1ab016dc50a
- Size of remote file:
- 335 MB
- SHA256:
- ec45c0262788428baa5bb63a5bff311e4a236743d9c2a53412b25403f8b1752c
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