Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use masterhaniwa/SD-inpaint-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use masterhaniwa/SD-inpaint-lora 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("masterhaniwa/SD-inpaint-lora") 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
Download image_3.png from masterhaniwa/SD-inpaint-lora: direct link, hf CLI and curl.
- Browser
- Download file 271 kB
-
https://huggingface.co/masterhaniwa/SD-inpaint-lora/resolve/main/image_3.png
- Command line
-
hf download hf://masterhaniwa/SD-inpaint-lora/image_3.png
-
curl -L -o image_3.png https://huggingface.co/masterhaniwa/SD-inpaint-lora/resolve/main/image_3.png
271 kB

- Xet hash:
- 616884ee5089c19e029de11cd873db6814d08cb0a5c90e85122bd02073d7268d
- Size of remote file:
- 271 kB
- SHA256:
- 99d3975239719c1ed341f9e8f5e4e17fbe7036c69615ef81241e99d8b1d4558b
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