Instructions to use ChandrilBasu/Soma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Soma 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("ChandrilBasu/Soma") prompt = "Soma" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add Soma.safetensors
Browse files- Soma.safetensors +3 -0
Soma.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:56540925e59b3ebdbaf91b4a1a4ad41ab2b8757bb74ff14ff40924d55ac1eb28
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size 89745224
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