Instructions to use roktimsardar123/dpto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roktimsardar123/dpto 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("roktimsardar123/dpto") prompt = "DPTO, sitting on a chair, relaxed, holding a phone" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab33c93ff141b074fe0ef90ad13a7beeb7913983aede9eeea8ae73d64a47fb26
- Size of remote file:
- 172 MB
- SHA256:
- eb9ffdcc1a953a8b0847d533e90d35c18c306e85f3ce67e6ebc6fcda36daf423
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