Instructions to use kartikgupta373/pulse-golmol-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kartikgupta373/pulse-golmol-v2 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("kartikgupta373/pulse-golmol-v2") prompt = "pulsegolmol" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 199700b2b63cd06e9060b6469b63bffbf6a2f62c692da74c845105436012919d
- Size of remote file:
- 516 MB
- SHA256:
- f797009ac952d03f0b4eb5dcf87bf1f2da71e0c68373b3523c82366d9ba85a15
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