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:
- 03cf560c43591c0807cd205ae2130642749951ca589eaf9f81a7cc4c4ddfb083
- Size of remote file:
- 492 MB
- SHA256:
- b376449548349fa45881d5e9274ee40fa233fa5ebca20e75d79c42eb2b4cd1fd
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