Instructions to use KBlueLeaf/Kohaku-XL-Epsilon-rev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/Kohaku-XL-Epsilon-rev2 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-rev2", 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 text_encoder_2/pytorch_model.bin from KBlueLeaf/Kohaku-XL-Epsilon-rev2: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/KBlueLeaf/Kohaku-XL-Epsilon-rev2/resolve/main/text_encoder_2/pytorch_model.bin
- Command line
-
hf download hf://KBlueLeaf/Kohaku-XL-Epsilon-rev2/text_encoder_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KBlueLeaf/Kohaku-XL-Epsilon-rev2/resolve/main/text_encoder_2/pytorch_model.bin
1.39 GB
- Xet hash:
- f1db96a94dac09755649011fba51f9b345ed4fe2ef90a8a1ef4051cf1bab3290
- Size of remote file:
- 1.39 GB
- SHA256:
- bbf606821a134697b8254ea5b9e882ddc559a0080c50dc18a493134d5ece2995
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