Instructions to use botSolar/kontext-hdr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use botSolar/kontext-hdr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HighCWu/FLUX.1-Kontext-dev-bnb-hqq-4bit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("botSolar/kontext-hdr") prompt = "hdr, reversal film photography" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Flux-kontext-hdr-lora

- Prompt
- hdr, reversal film photography
Model description
original source https://civitai.com/models/1763708/hd-resolution-photo-lora-flux-kontext?modelVersionId=1995945
Trigger words
You should use kontext to trigger the image generation.
You should use lora to trigger the image generation.
You should use superresolution to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for botSolar/kontext-hdr
Base model
black-forest-labs/FLUX.1-Kontext-dev Quantized
HighCWu/FLUX.1-Kontext-dev-bnb-hqq-4bit