Instructions to use treeshark/oilpaintz_v10.safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use treeshark/oilpaintz_v10.safetensors 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("treeshark/oilpaintz_v10.safetensors") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 44d7f3f60298de1b152020f8caba5a12532e9ee7b5fa9991b8f08d81f0d989be
- Size of remote file:
- 378 kB
- SHA256:
- 4f73edec6e3a68901485f6dbba09237deea35cc4f713831f5679b59739673046
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