Instructions to use ZavGeorge/SD_1.4_simpson_tune_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZavGeorge/SD_1.4_simpson_tune_lora_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ZavGeorge/SD_1.4_simpson_tune_lora_v1") 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_1.png from ZavGeorge/SD_1.4_simpson_tune_lora_v1: direct link, hf CLI and curl.
- Browser
- Download file 409 kB
-
https://huggingface.co/ZavGeorge/SD_1.4_simpson_tune_lora_v1/resolve/main/image_1.png
- Command line
-
hf download hf://ZavGeorge/SD_1.4_simpson_tune_lora_v1/image_1.png
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curl -L -o image_1.png https://huggingface.co/ZavGeorge/SD_1.4_simpson_tune_lora_v1/resolve/main/image_1.png
409 kB
