Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use dashabalashova/path-to-save-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dashabalashova/path-to-save-model-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dashabalashova/path-to-save-model-2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- de762f8fb476ab4071d14a507c8e71132984d06bbaf172ee2e99138fdfe07d15
- Size of remote file:
- 2 GB
- SHA256:
- 5e56c3ae9023216db23a2fdc0095ab7432f8ece55cad8abed1f2e325257e2c7d
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