Instructions to use rando2625/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rando2625/model 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("rando2625/model") prompt = "a photo of sks megumi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/scheduler.bin from rando2625/model: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/rando2625/model/resolve/main/checkpoint-500/scheduler.bin
- Command line
-
hf download hf://rando2625/model/checkpoint-500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/rando2625/model/resolve/main/checkpoint-500/scheduler.bin
1 kB
- Xet hash:
- 04242ee8f3ded13bf75477518223ee91c8bb1e86d9f272063bf7c7a7f78e820d
- Size of remote file:
- 1 kB
- SHA256:
- 6cf34ac8dd2addc454aeb1ee4eaba3267c2841857e117be40ac2ed02cf581c9c
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