Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use llrt/trained-sd3-dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use llrt/trained-sd3-dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("llrt/trained-sd3-dreambooth", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from llrt/trained-sd3-dreambooth: direct link, hf CLI and curl.
- Browser
- Download file 1.44 MB
-
https://huggingface.co/llrt/trained-sd3-dreambooth/resolve/main/image_2.png
- Command line
-
hf download hf://llrt/trained-sd3-dreambooth/image_2.png
-
curl -L -o image_2.png https://huggingface.co/llrt/trained-sd3-dreambooth/resolve/main/image_2.png
1.44 MB

- Xet hash:
- bc318690fae4140e99bef02680a538469a7a5c2d3ec562f4ae2ea98344606593
- Size of remote file:
- 1.44 MB
- SHA256:
- c7c1fe5d15b58df419fd3c93d746adf1b329d782c956d67c568dab1a31ccb724
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