Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use rubio21/bricks-picvisa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rubio21/bricks-picvisa-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rubio21/bricks-picvisa-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5500/optimizer.bin from rubio21/bricks-picvisa-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/rubio21/bricks-picvisa-lora/resolve/main/checkpoint-5500/optimizer.bin
- Command line
-
hf download hf://rubio21/bricks-picvisa-lora/checkpoint-5500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/rubio21/bricks-picvisa-lora/resolve/main/checkpoint-5500/optimizer.bin
6.59 MB
- Xet hash:
- b4e2a0c11b4903f39a2eebe2bf95901125a1a9a05a887db3d794866fc2a5ba2f
- Size of remote file:
- 6.59 MB
- SHA256:
- 6f24bd7c6f55c0483787e881fdc4e96e20b1b81be509046badb5139bcd949bff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.