Instructions to use twn39/epicphotogasm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use twn39/epicphotogasm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("twn39/epicphotogasm", 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 twn39/epicphotogasm: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/twn39/epicphotogasm/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://twn39/epicphotogasm/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/twn39/epicphotogasm/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 89c5b393b9b354f3dbee7fa4bd8050e0b9f06c2b8cfe5cd3ab0e0cd358de3eb6
- Size of remote file:
- 335 MB
- SHA256:
- ff2d802ea346fae59b641b1e4cbc81cb5fed618f30abfe9a3383e54af210fd02
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