Instructions to use opendiffusionai/sd-longclip-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use opendiffusionai/sd-longclip-ko with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("opendiffusionai/sd-longclip-ko", 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
sd-longclip
This the old stable diffusion v1.5 model, with the latest "LongClip" slapped on it, from https://huggingface.co/zer0int/LongCLIP-KO-LITE-TypoAttack-Attn-ViT-L-14/
Sadly, even though the model will no longer reject token lengths between 77-248 tokens... it does not seem to fully take advantage of it. Retraining is presumably needed.
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Model tree for opendiffusionai/sd-longclip-ko
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5