Instructions to use AdamOswald1/Ultima-Waifu-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Ultima-Waifu-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AdamOswald1/Ultima-Waifu-Diffusion", 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 HD-17.ckpt from AdamOswald1/Ultima-Waifu-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.85 GB
-
https://huggingface.co/AdamOswald1/Ultima-Waifu-Diffusion/resolve/main/HD-17.ckpt
- Command line
-
hf download hf://AdamOswald1/Ultima-Waifu-Diffusion/HD-17.ckpt
-
curl -L -o HD-17.ckpt https://huggingface.co/AdamOswald1/Ultima-Waifu-Diffusion/resolve/main/HD-17.ckpt
3.85 GB
- Xet hash:
- c86dd501f15ee39b4e0d83f981734ccd59ccffc7c1ddfd021ab0bc953b13e560
- Size of remote file:
- 3.85 GB
- SHA256:
- e1d4b186c8e148a48f96c73d4ec4b19802c3ecb3a3b431b7a028da63c3542214
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