Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use emily49/frozen-stable-diffusion-non-inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emily49/frozen-stable-diffusion-non-inpaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emily49/frozen-stable-diffusion-non-inpaint", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks frozen" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 86f94f42e880fb5b3f596a95232c1bf506dd42ab2cffe28dfe8e8172348eb0eb
- Size of remote file:
- 9.65 GB
- SHA256:
- 5876b7b6ec99bc7a25d5a112cc79cf25165dca2e60bdb225856bc49746ce567c
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