Instructions to use AlekseyCalvin/unMedusa_statue2life_Kontext_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/unMedusa_statue2life_Kontext_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/unMedusa_statue2life_Kontext_v2") prompt = "unmedusa statue, convert to photo of the person, retaining same identity and composition" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
unMedusa (Statue to Life) Var.2
Low Rank Adapter (LoRA) for Flux KONTEXT Dev
|||| By Silver Age Poets ||||
Low-Rank Adapter (LoRA) for FLUX Kontext editing/instruction model(s)...

- Prompt
- unmedusa statue, convert to photo of the person, retaining same identity and composition

- Prompt
- unmedusa statue, convert to photo of the person, retaining same identity and composition
Prompt instruction
You should use unmedusa statue, convert to photo of the person, retaining same identity and composition, etc, as part of the prompt instruction for your image-to-image editing.
- Downloads last month
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Model tree for AlekseyCalvin/unMedusa_statue2life_Kontext_v2
Base model
black-forest-labs/FLUX.1-Kontext-dev