Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use rithviknishad/Kiri-Avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rithviknishad/Kiri-Avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rithviknishad/Kiri-Avatar", torch_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
Librarian Bot: Update dataset YAML metadata for model
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by librarian-bot - opened
README.md
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# DreamBooth model for the Kiri concept trained by rithviknishad on the rithviknishad/kiri dataset.
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- diffusion-models-class
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datasets: rithviknishad/kiri
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# DreamBooth model for the Kiri concept trained by rithviknishad on the rithviknishad/kiri dataset.
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