Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use JwonP/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JwonP/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("JwonP/model", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks bowl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8e41c2040c4e55e06d13ade34ec6d0b12d0dcb86e932479e112bfa3d5a0111bf
- Size of remote file:
- 563 Bytes
- SHA256:
- f86d1f18eb9c3519789dd022870fca925dee131f3e73e8a3e37fd52f259592f4
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