Instructions to use muchan23/local_pine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muchan23/local_pine 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("muchan23/local_pine") prompt = "pine" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add local_pine.safetensors
Browse files- local_pine.safetensors +3 -0
local_pine.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c2a68b1f3e8a6a0cdfe152fe4bcdc473eb31de2cbe5f713782f8ef95ae5eea4
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size 89745224
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