Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Nazar47/monkey_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nazar47/monkey_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nazar47/monkey_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a little monkey" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 24c535a7347109ccb6cfea7d7e73cb38f62116299dbdd64085b4ffdd7de15101
- Size of remote file:
- 1.73 GB
- SHA256:
- 515a423f2328aa720777a460a960eb01cd159d3037dd0a4e21d9d45fe7992b16
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