Instructions to use badraymen/Object_Fusion_Frompysj666_V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use badraymen/Object_Fusion_Frompysj666_V0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("badraymen/Object_Fusion_Frompysj666_V0") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Object_Fusion_Frompysj666_V0
Qwen-Image-2.1 Consistent Lighting LoRA for seamless object-to-scene fusion.
Trigger
pysj666
Description
Keeps the subject position and size unchanged while adjusting the background perspective angle to align with the subject's vanishing point. Seamless blending between subject and background.
- Blends seamlessly object into the scene
- No reflections/glares
- Enhance specular highlights
- Adds natural shadows
Usage
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", torch_dtype=torch.float16)
pipe.load_lora_weights("badraymen/Object_Fusion_Frompysj666_V0")
Training Details
- Base model: Qwen-Image-2.1
- Trigger word:
pysj666
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