Instructions to use omarViga/mabama-35-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use omarViga/mabama-35-2-v1 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("omarViga/mabama-35-2-v1") prompt = "Sexy mabama in black lingerie, she lays down in her cosy bed wearing sexy black lingerie." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e9330c8d264305bb34dc2aca1f243f94396d6b962fee2eb20b47891ead2be215
- Size of remote file:
- 182 kB
- SHA256:
- c1aa941850d80d5d457d19575264eec9bbcdcb16439b327b3a882c4e51b081fb
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