Instructions to use jyp96/dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jyp96/dog6") prompt = "A photo of sks dog6 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/scheduler.bin from jyp96/dog6: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/jyp96/dog6/resolve/main/checkpoint-200/scheduler.bin
- Command line
-
hf download hf://jyp96/dog6/checkpoint-200/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/jyp96/dog6/resolve/main/checkpoint-200/scheduler.bin
1 kB
- Xet hash:
- 1b1f2e40918ddc334d08291dba4b2b140bfcfa63f05619fc3b0a8201e1de3368
- Size of remote file:
- 1 kB
- SHA256:
- 825d1f91f18ea90829d142ea0b3c42ce5d5590f83b5f4e962aba8d5cf8166519
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