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
Download vae/diffusion_pytorch_model.fp16.bin from Yntec/Pavo-Mix-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/Pavo-Mix-Diffusers/resolve/b4ac85bd720f626535b052d4756b7efd7f5b1a79/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/Pavo-Mix-Diffusers@b4ac85bd720f626535b052d4756b7efd7f5b1a79/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/Pavo-Mix-Diffusers/resolve/b4ac85bd720f626535b052d4756b7efd7f5b1a79/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 3b121f7b92a1aec963026048e8521ed6db3e797958ff2e05e9f8a17148b0d039
- Size of remote file:
- 167 MB
- SHA256:
- c80a72da3e412d728c067c549003164977edb311ef3926a45dc1cc675a10e372
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