Instructions to use alexShangeeth/dpr_box with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alexShangeeth/dpr_box 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("alexShangeeth/dpr_box") prompt = "dpr20strip" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from alexShangeeth/dpr_box: direct link, hf CLI and curl.
- Browser
- Download file 781 Bytes
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https://huggingface.co/alexShangeeth/dpr_box/resolve/main/README.md
- Command line
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hf download hf://alexShangeeth/dpr_box/README.md
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curl -L -o README.md https://huggingface.co/alexShangeeth/dpr_box/resolve/main/README.md
781 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: dpr20strip
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
dpr_box
Model description
general training with 1500 steps oher settings default
Trigger words
You should use dpr20strip to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-general-training.