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
- Draw Things
- DiffusionBee
- Xet hash:
- c52031ee023972f9953c3ef17455728f5163355c93d4d8257d0925198b21b6e7
- Size of remote file:
- 2.78 GB
- SHA256:
- 3a6032f63d37ae02bbc74ccd6a27440578cd71701f96532229d0154f55a8d3ff
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