Instructions to use stabilityai/stable-diffusion-3-medium-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3-medium-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
RuntimeError: Input type (float) and bias type (c10::Half) should be the same
#49
by HG0001 - opened
using dreambooth+LoRa sd3 finetuning
accelerate launch train_dreambooth_lora_sd3.py --pretrained_model_name_or_path=$MODEL_NAME --instance_data_dir=$INSTANCE_DIR --output_dir=$OUTPUT_DIR --mixed_precision="fp16" --instance_prompt="a photo of sks dog" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=4 --learning_rate=1e-4 --lr_scheduler="constant" --lr_warmup_steps=0 --max_train_steps=500 --validation_prompt="A photo of sks dog in a bucket" --validation_epochs=25 --seed="0"