Instructions to use Prajeevan/akshyaid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prajeevan/akshyaid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prajeevan/akshyaid", dtype=torch.bfloat16, device_map="cuda") prompt = "akshyaiD" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Upload akshyaiD_0.7-dreamlikeDiffusion10_10_0.3-Weighted_sum-merged.safetensors
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Upload concept_images with huggingface_hub
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Upload with huggingface_hub
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Upload the model akshyaiD
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initial commit
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