Instructions to use KamCastle/epicphotogasm_x_PlusPlus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/epicphotogasm_x_PlusPlus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/epicphotogasm_x_PlusPlus", 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.bin from KamCastle/epicphotogasm_x_PlusPlus: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/KamCastle/epicphotogasm_x_PlusPlus/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://KamCastle/epicphotogasm_x_PlusPlus/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/KamCastle/epicphotogasm_x_PlusPlus/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- ab87f97d00151d2c0599853a0d1d0f8dd039cba0d208acf9842d22085ca588ee
- Size of remote file:
- 335 MB
- SHA256:
- 77c664f31c0d57c8e2d0796f76f03b61cd3a10417501221e4836742753c78bc7
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