Instructions to use OJ-1/Sulphur-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OJ-1/Sulphur-2-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OJ-1/Sulphur-2-base", 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
Sulphur 2
An uncensored video generation model based on LTX 2.3
Credits
- (TenStrip) โ Testing & model merging (His i2v merge of sulphur 2, highly recommend for i2v)
- @s1lv3rc01n โ Testing & model merging/quantizing (silveroxides)
- @mov7162 โ Musubi Tuner guidance
- And many others, if you'd like to be on the credits and I didn't place you here, message me I likely assumed you didn't want to be here.
Funders
- Anonymous funder #1 โ Supported the original Sulphur
- Anonymous funder #2 โ Made Sulphur 2 possible; this model wouldn't exist without them
Thank you to everyone who contributed.
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Hardware compatibility
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8-bit