Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use covalenthq/boredape_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use covalenthq/boredape_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("covalenthq/boredape_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a bayc nft" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3f1d7945091469a512b304403aba63db6497bc2f3367cfe75a0a2ef4c1f4b23c
- Size of remote file:
- 1.97 GB
- SHA256:
- 1bf4c23a3c3c265ec939003db22d6c3eb81749f8992d29d2589e34576b5ad71b
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