Instructions to use SamJu3/sd-danielle-model-lora40with-ssd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SamJu3/sd-danielle-model-lora40with-ssd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SamJu3/sd-danielle-model-lora40with-ssd") 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 SamJu3/sd-danielle-model-lora40with-ssd: direct link, hf CLI and curl.
- Browser
- Download file 1.09 MB
-
https://huggingface.co/SamJu3/sd-danielle-model-lora40with-ssd/resolve/main/image_3.png
- Command line
-
hf download hf://SamJu3/sd-danielle-model-lora40with-ssd/image_3.png
-
curl -L -o image_3.png https://huggingface.co/SamJu3/sd-danielle-model-lora40with-ssd/resolve/main/image_3.png
1.09 MB

- Xet hash:
- ed662ef6165027b289ef1963e9698e2c2bf5c36be948ff1b77348d8182331b26
- Size of remote file:
- 1.09 MB
- SHA256:
- 7a91a3e8db7dce1278cf9dda2f45f1232e473d5d0cee936377022eabdf72fa9d
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