Instructions to use ItsMaxNorm/stable-diffusion-v1-5-para-dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsMaxNorm/stable-diffusion-v1-5-para-dog6 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("ItsMaxNorm/stable-diffusion-v1-5-para-dog6") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_3.png from ItsMaxNorm/stable-diffusion-v1-5-para-dog6: direct link, hf CLI and curl.
- Browser
- Download file 512 kB
-
https://huggingface.co/ItsMaxNorm/stable-diffusion-v1-5-para-dog6/resolve/main/image_3.png
- Command line
-
hf download hf://ItsMaxNorm/stable-diffusion-v1-5-para-dog6/image_3.png
-
curl -L -o image_3.png https://huggingface.co/ItsMaxNorm/stable-diffusion-v1-5-para-dog6/resolve/main/image_3.png
512 kB

- Xet hash:
- bd29b066a1ac92ec39bda8ecbebf96c6b67d10cf200cd64158f931b8494fe5d0
- Size of remote file:
- 512 kB
- SHA256:
- dbf453d11de49973a290d70c1ca8106285bb3925b4a127ff447a4e137e295707
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