Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use iainmcqueen/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iainmcqueen/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("iainmcqueen/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of onc sneakers" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4561c8cc771e92d8078d2b53b03947780e20fcc6fe75fb7a8b3a391dce0b4cb3
- Size of remote file:
- 492 MB
- SHA256:
- a4d0c8c7278da129789ab1d62999c2af88ecc8895c8c5b9fe5c60e8ea216d848
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