Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
dreambooth
stable-diffusion
stable-diffusion-diffusers
Instructions to use xinweiliu/clean-save-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xinweiliu/clean-save-model2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinweiliu/clean-save-model2", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d2d383e266c0398f2e77ca2e582ff758647ba15b032429481271fb74e6b69dcd
- Size of remote file:
- 1.63 MB
- SHA256:
- 17223361ce50a45b7ae9f8e5da845e895aa364cc06004a0c9b99f50ea3ddc87c
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