Instructions to use sshh12/sd2-lora-inpainting-sentinel-2-rgb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sshh12/sd2-lora-inpainting-sentinel-2-rgb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-inpainting", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sshh12/sd2-lora-inpainting-sentinel-2-rgb") 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
These are LoRA adaption weights for stabilityai/stable-diffusion-2-inpainting. The weights were fine-tuned on the sshh12/sentinel-2-rgb-captioned dataset.
🧨 Diffusers Usage
from diffusers import StableDiffusionInpaintPipeline
import torch
pipe = StableDiffusionInpaintPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-inpainting",
torch_dtype=torch.float16,
device_map="auto",
cache_dir=CACHE_DIR,
)
pipe.unet.load_attn_procs(
lora_model,
use_safetensors=False,
)
Training
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Model tree for sshh12/sd2-lora-inpainting-sentinel-2-rgb
Base model
stabilityai/stable-diffusion-2-inpainting