Instructions to use dmityul/ikrinadara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dmityul/ikrinadara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dmityul/ikrinadara", 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
Commit History
-
Upload folder using huggingface_hub
8a161bb -
Upload model_index.json with huggingface_hub
e77bb8b -
Upload folder using huggingface_hub
477e000 -
Upload folder using huggingface_hub
38bc8e5 -
Upload folder using huggingface_hub
f041182 -
Upload folder using huggingface_hub
594a13f -
Upload folder using huggingface_hub
d149fca -
Upload folder using huggingface_hub
fae67d0 -
Upload folder using huggingface_hub
910f706 -
Upload the concept ikrinadara embeds and token
e171e87 -
initial commit
3f4ff16