Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use MartinSumera/futured5_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MartinSumera/futured5_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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MartinSumera/futured5_LoRA") prompt = "a professional portrait of a person in black clothing against a dark background in the style of TOK, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from MartinSumera/futured5_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/MartinSumera/futured5_LoRA/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://MartinSumera/futured5_LoRA/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/MartinSumera/futured5_LoRA/resolve/main/checkpoint-500/optimizer.bin
15 MB
- Xet hash:
- b124c79803cecb6a3c3aa224c048d337e1db84318589f00745d7b9acb3354d70
- Size of remote file:
- 15 MB
- SHA256:
- e0524b37788be013eed6fa5dc8545a0a8e843d14040a3e2c66e2e0f23e0436df
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