Instructions to use B4100/LTXBJ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/LTXBJ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/LTX2.3_NSFW_motion", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/LTXBJ") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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LTX-2.3 Sulphur - Blowjob v2_rank 64.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:868094e445a5622f2879838eecfa9d0cb70a0278b9f92987f02b304d3550087e
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size 1703471908
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images/barflashshot.png
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Git LFS Details
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