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:
- 4397404cb201c8227f02bc28813212fbaefe40cd6953da73490b8c8371fe076b
- Size of remote file:
- 172 MB
- SHA256:
- 21e54ada7a672d290d92a79c9d1c78d90bd3460c8bf25eedaf56c35479d48b9d
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