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 checkpoint-500/optimizer.bin from llrt/trained-sd3-dreambooth: direct link, hf CLI and curl.
- Browser
- Download file 16.2 GB
-
https://huggingface.co/llrt/trained-sd3-dreambooth/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://llrt/trained-sd3-dreambooth/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/llrt/trained-sd3-dreambooth/resolve/main/checkpoint-500/optimizer.bin
16.2 GB
- Xet hash:
- 3d23ce9767bd5a1a897237381d0760ab753547190a56c611a6e242a3bf758b18
- Size of remote file:
- 16.2 GB
- SHA256:
- 13a86d114d22d850674934f7a18934e0df1bdaa2c514b3ea424845f64d10275c
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