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:
- 8937e941f86738cc7b9dc1d77b4a9c7448f7ad5c4582f043e62fbbd1b3e3d3b0
- Size of remote file:
- 1.97 GB
- SHA256:
- 04b4f05089ef7648d56964af3b7d1c9a7914f6ab2eda64a034ebf22d3cd0a08c
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