Instructions to use WhiteAiZ/Pony_diffusion_v6_diffusers_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WhiteAiZ/Pony_diffusion_v6_diffusers_fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WhiteAiZ/Pony_diffusion_v6_diffusers_fp16", 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
File size: 135 Bytes
1537945 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b251cd0ece07b6c69b5eff40c6037dc901dbc84b3e67e7498ab4bf22ddcee3c4
size 5135149760
|