Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use Bhaskar009/SD_1.5_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bhaskar009/SD_1.5_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("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bhaskar009/SD_1.5_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_2.png from Bhaskar009/SD_1.5_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 430 kB
-
https://huggingface.co/Bhaskar009/SD_1.5_LoRA/resolve/main/image_2.png
- Command line
-
hf download hf://Bhaskar009/SD_1.5_LoRA/image_2.png
-
curl -L -o image_2.png https://huggingface.co/Bhaskar009/SD_1.5_LoRA/resolve/main/image_2.png
430 kB

- Xet hash:
- 1a9ea3712c2f3c9258cf0b00579ef1055bcfae1d83b5930bcf732c6472285246
- Size of remote file:
- 430 kB
- SHA256:
- ffdd30aa8070b67668737df20ce952f6480a791f22929b5d1e4a845073fa6f5e
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