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
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Download README.md from sd-dreambooth-library/retro3d: direct link, hf CLI and curl.
- Browser
- Download file 9.92 kB
-
https://huggingface.co/sd-dreambooth-library/retro3d/resolve/main/README.md
- Command line
-
hf download hf://sd-dreambooth-library/retro3d/README.md
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curl -L -o README.md https://huggingface.co/sd-dreambooth-library/retro3d/resolve/main/README.md
9.92 kB
metadata
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
widget:
- text: trsldamrl Donald Trump
example_title: Retro3d donald Trump
- text: trsldamrl keanu reeves
example_title: Retro3d Keanu Reeves
- text: trsldamrl wizard castle
example_title: Retro3d wizard castle
retro3d Dreambooth model trained by abesmon with Hugging Face Dreambooth Training Space with the v2-1-512 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
concept named trsldamrl (use that on your prompt)











































































