Instructions to use NxtHuman/mbs1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NxtHuman/mbs1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NxtHuman/mbs1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 14d41213ce34df19af35b304c1157e3da754c9d717180821c52e0ca7995b64fe
- Size of remote file:
- 144 MB
- SHA256:
- b7cb9e54330613f4b54ae68fecdec24b8a12df09b96e08dc8b2836034ed1be19
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