Instructions to use muchan23/pine_tree_shape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muchan23/pine_tree_shape 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/pine_tree_shape") prompt = "pine tree" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ad2d6e60768bd7b22c8229c581bd78dc483c5340e3a928d27b619b2dc2618334
- Size of remote file:
- 89.7 MB
- SHA256:
- 215636270fb77a864c422ed3ef5ca046898d40e3448c60ac331b4724328b873a
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