Instructions to use 22h/vintedois-diffusion-v0-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 22h/vintedois-diffusion-v0-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("22h/vintedois-diffusion-v0-2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
More info about training
#1
by Delta36652 - opened
Can you share more info anbout training?
What images are included in dataset?
How big dataset is (number of images)?
What was the training hardware?
How long did traing take?
How much did it cost?