Text-to-Image
Diffusers
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use orekhovsky/hist_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use orekhovsky/hist_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("orekhovsky/hist_LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of histological slide" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from orekhovsky/hist_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/orekhovsky/hist_LoRA/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://orekhovsky/hist_LoRA/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/orekhovsky/hist_LoRA/resolve/main/checkpoint-200/optimizer.bin
15.1 MB
- Xet hash:
- 18f7a8d723c300ad843109d82a08f3cd6dd4903995845371c28104efe88ee8c0
- Size of remote file:
- 15.1 MB
- SHA256:
- 7c4ca5fc8180c8b95296482e8dc80348f4d6c9c621ebd5c9400c074836658500
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