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:
- 6f5dd27b6755aca1fef5158b1bba18f50fd5f875a4a4e3650a60ef9625e6a128
- Size of remote file:
- 172 MB
- SHA256:
- 1ee7f1df7d5422be466b4737d4b2bd5982c75b86ddbfcf40bf608b6a18d87684
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