How to use prithivMLmods/Kontext-Bottom-Up-View with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="prithivMLmods/Kontext-Bottom-Up-View")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prithivMLmods/Kontext-Bottom-Up-View", dtype="auto")
How to use prithivMLmods/Kontext-Bottom-Up-View 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("prithivMLmods/Kontext-Bottom-Up-View") prompt = "[photo content], recreate the scene from a bottom-up perspective. Preserve accurate depth, scale, and lighting direction to enhance realism. Ensure the background sky or floor elements adjust naturally to the new angle, maintaining authentic shadowing and perspective." 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]
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