Instructions to use XDG-XHS/distar_long_1step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XDG-XHS/distar_long_1step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XDG-XHS/distar_long_1step", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add model card
Verified signatureThis PR adds a model card by linking it to the paper [Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models](https://huggingface.co/papers/2410.20898).e7eafc9
-
Update vae/config.json
Verified signature9c0b85d -
Update unet/config.json
Verified signature1e4b38a -
Update text_encoder/config.json
Verified signaturecdd1a77 -
Update text_encoder_2/config.json
Verified signatureb26641c -
Upload Diff-Instsruct Family models
Verified signature5eebd2a -
initial commit
Verified signatureb2a0eb5