Instructions to use Adaheterjag/lora2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Adaheterjag/lora2 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("Adaheterjag/lora2") prompt = "adispotatis" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add lora2.safetensors
Browse files- lora2.safetensors +3 -0
lora2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:922843055395e14d2c551905b998d2e4cab8ecdb8d0e06a2f1e20906b2c33703
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size 89745224
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