Instructions to use wsxiaoys/sd-dreambooth-elysia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wsxiaoys/sd-dreambooth-elysia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wsxiaoys/sd-dreambooth-elysia", 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 wsxiaoys/sd-dreambooth-elysia: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/wsxiaoys/sd-dreambooth-elysia/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://wsxiaoys/sd-dreambooth-elysia/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/wsxiaoys/sd-dreambooth-elysia/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 784f15c439b37cc66f9145da03e16cd84336279fc8bc4fd534ff40980cb8c986
- Size of remote file:
- 335 MB
- SHA256:
- 33c5d1ca6c868c4ca622ac282cb26058b762f830f3dbbfb09b0b5a7ac86347fb
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