Instructions to use reverentelusarca/kontext-turnaround-sheet-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reverentelusarca/kontext-turnaround-sheet-lora-v1 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("reverentelusarca/kontext-turnaround-sheet-lora-v1") prompt = "Turn this cat into a dog" 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
Flux Kontext Character Turnaround Sheet LoRA
Details
Recommended Prompt:create turnaround sheet of this exact character, 5 full-body poses on pure white background: front view, 3/4 left, left profile, back view, right profile, 3/4 right — evenly spaced in a clean horizontal row, consistent lighting and style, no background noise, no shadows, same proportions and detailing across all views
*feel free to tweak the prompt, but make sure you have "create turnaround sheet of this character" in your updated prompt.
Notes
- It won't work well on real human photos
- I recommend inputting a full body shot rather than a headshot of the character as the input image
- It's not good at creating facial expression sheet, but planning to train one later on for that purpose
- Without the lora, my example prompt itself also generates turnaround sheets, but with LoRA it's way better
- Trained with Ostris AI Toolkit
- Downloads last month
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Model tree for reverentelusarca/kontext-turnaround-sheet-lora-v1
Base model
black-forest-labs/FLUX.1-Kontext-dev