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-7500/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-7500/optimizer.bin
- Command line
-
hf download hf://rubio21/bricks-picvisa-lora/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/rubio21/bricks-picvisa-lora/resolve/main/checkpoint-7500/optimizer.bin
6.59 MB
- Xet hash:
- 18e85053fd156ce035828dfa5c206d0c6b5587fc659fa0c39b81d97627db6ff9
- Size of remote file:
- 6.59 MB
- SHA256:
- 6725843ee66e444e6f7168e375471bba79030bb33366e55fee48bd8b7afe1f84
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