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:
- de003945502c22913e5511a7c07990df0a6c4d3f89d48509471b8b103aa362ea
- Size of remote file:
- 1.39 MB
- SHA256:
- 65bd21c4cf1a1bc343b5f38eeece832e9510779eb29f2da1db269d3b24b623ac
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