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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4c1e6689be5b29359654d3adbb2261dfc784d10a416abec819c701b539ca270f
- Size of remote file:
- 246 MB
- SHA256:
- 4c546e1ebd50117e94973e9ac7e8b3e67e897a22a53c97074f3292e7f2d2d979
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