Image-to-Image
Diffusers
flux
lora
fal
How to use from the
Use from the
Diffusers library
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("fal/3D-Game-Assets-Kontext-Dev-LoRA")

prompt = "Create 3D game asset, isometric view version"
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]

3D-Game-Assets Kontext Dev LoRA

Prompt
Create 3D game asset, isometric view version
Prompt
Create 3D game asset, isometric view version
Prompt
Create 3D game asset, isometric view version

Model description

Trigger phrase

Create 3D game asset, isometric view version

Download model

Weights for this model are available in Safetensors format.

Download

Training at fal.ai

Training was done using fal.ai/models/fal-ai/flux-kontext-trainer/playground.

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