Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use OriginF/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OriginF/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OriginF/output", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks lego" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from OriginF/output: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/OriginF/output/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://OriginF/output/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/OriginF/output/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 70917c6e7a3fa46a1cd79f1a3ceccb0e2e7a52521605b75b4371bc0b4c880e7e
- Size of remote file:
- 492 MB
- SHA256:
- a20d724dacc3f94e73753462567b578a6395b725e17b4ddaeddf0dd3bc148729
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