Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use QFun/original_trained_SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QFun/original_trained_SD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("QFun/original_trained_SD", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of rgb5_mix woman in front of the green curtain" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5f5c293954ef321e4b29c84a9d829513a12767afcb765640cbefc5cff203f402
- Size of remote file:
- 6.88 GB
- SHA256:
- 8cd0d7b6890090781f40a52fb0ec31e30012de890c3168ca69e9e1266eee2fc1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.