Instructions to use DipakFaceML/image-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DipakFaceML/image-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DipakFaceML/image-model", 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
getting error while using in kaggale
#1
by DipakFaceML - opened
import torch
pip install -U diffusers transformers accelerate
from diffusers import DiffusionPipeline
switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("DipakFaceML/image-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
This is the code I have been using