Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use MoritzAMLLaura/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MoritzAMLLaura/trained-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MoritzAMLLaura/trained-sd3", 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
- Xet hash:
- d1af478ff28c5c5c69973299efc43285109d3d56eea68c86ae0ce1062650d0c9
- Size of remote file:
- 8.34 GB
- SHA256:
- 1b9656d474029d9c95c646f514067d94ce945418918a17227212efb514fddb20
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