Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use zrross11/modelOutput with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zrross11/modelOutput with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zrross11/modelOutput", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a colton face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- da826714b616f58d9e0061b4cc6d25105926be72ce77e58c1a791fbdfbabfdf8
- Size of remote file:
- 1 kB
- SHA256:
- 298e7e75502de41a98ece7ac5311b3b598cf308af851c910dc4da2b9a52082ad
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