Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/vase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/vase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KCS97/vase", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks vase" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 41f8acdd0eae1464f4c9e0ec8280186e2a38bb0f2aae5a224e41c232d16db869
- Size of remote file:
- 6.88 GB
- SHA256:
- a6989d88a9e26080fbd6d91e0fa1b3106213a78bcd33392286fe077ea4c0247d
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