Instructions to use KBlueLeaf/Kohaku-XL-Epsilon-rev3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/Kohaku-XL-Epsilon-rev3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KBlueLeaf/Kohaku-XL-Epsilon-rev3", 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 kohaku-xl-epsilon-rev3.safetensors from KBlueLeaf/Kohaku-XL-Epsilon-rev3: direct link, hf CLI and curl.
- Browser
- Download file 6.94 GB
-
https://huggingface.co/KBlueLeaf/Kohaku-XL-Epsilon-rev3/resolve/main/kohaku-xl-epsilon-rev3.safetensors
- Command line
-
hf download hf://KBlueLeaf/Kohaku-XL-Epsilon-rev3/kohaku-xl-epsilon-rev3.safetensors
-
curl -L -o kohaku-xl-epsilon-rev3.safetensors https://huggingface.co/KBlueLeaf/Kohaku-XL-Epsilon-rev3/resolve/main/kohaku-xl-epsilon-rev3.safetensors
6.94 GB
- Xet hash:
- 7ccd9e2918431d2a034391eb9f268eaf8bdf16d06c9125ef7000b93d36446b1e
- Size of remote file:
- 6.94 GB
- SHA256:
- 2b4973298adb2bb82956f2ac05e0a949feb15c65cb68444fc1d38f77709e6909
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.