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:
- 5c2a2b1de68b9ddaac20d6b521bfd5e8c2bc6aa2bd6163e9d8c200af33653e84
- Size of remote file:
- 172 MB
- SHA256:
- 3df1425b288e80edbd0da2c3844e8b325ddffaad7c1e10ed4a9ee5dfc055dc9a
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