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
Download text_encoder/model.safetensors from MoritzAMLLaura/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/MoritzAMLLaura/trained-sd3/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://MoritzAMLLaura/trained-sd3/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MoritzAMLLaura/trained-sd3/resolve/main/text_encoder/model.safetensors
495 MB
- Xet hash:
- 24748ce8a89a2cbdbc8fd34099b76ed5e91788cca5dc6ef402b995ef5958f5e6
- Size of remote file:
- 495 MB
- SHA256:
- fab2e9f2a5d3d8822ebd40a4f0ad22d5119dde950b31f8922c3e8d5622704a1c
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