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
Support for Inpaint?
#17
by haok-glober - opened
Hi,
May I ask would there any support for StableDiffusionInpaintPipeline from diffusers library?
import torch
from diffusers import StableDiffusionInpaintPipeline
pipe = StableDiffusionInpaintPipeline.from_pretrained(
"stabilityai/stable-diffusion-3-medium-diffusers",
torch_dtype=torch.float16,
)
The above script caused the following error:
ValueError: Pipeline <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_inpaint.StableDiffusionInpaintPipeline'> expected {'tokenizer', 'safety_checker', 'unet', 'feature_extractor', 'image_encoder', 'text_encoder', 'scheduler', 'vae'}, but only {'vae', 'tokenizer', 'text_encoder', 'scheduler'} were passed.
Thanks