Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use sd-dreambooth-library/retro3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/retro3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/retro3d", dtype=torch.bfloat16, device_map="cuda") prompt = "trsldamrl Donald Trump" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from sd-dreambooth-library/retro3d: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/sd-dreambooth-library/retro3d/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/retro3d/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/retro3d/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- e0f7a04d82a5c25a9272085ad601c3b8f17d797fed095f1130be237cf2040503
- Size of remote file:
- 1.36 GB
- SHA256:
- c26cdf2e4d0e33ee86a489a2e9848cb2a67f11ced64bd93c3c0e5ac8cfdc244d
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