Instructions to use MLbackup/Lora_scrape_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/Lora_scrape_2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MLbackup/Lora_scrape_2023") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Commit ·
5a64bed
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Parent(s): 1e38d76
Upload 4 files
Browse files- Kitch_Full-01.safetensors +3 -0
- Kitch_Full-02.safetensors +3 -0
- Kitch_Full-03.safetensors +3 -0
- Kitch_Full-04.safetensors +3 -0
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