Instructions to use EarthnDusk/Loras_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Loras_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("EarthnDusk/Loras_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
- DiffusionBee
Ctrl+K
- 10_Nov_Loras
- Ai-Overlords-SantaTeam
- DEC-13-SD15
- Dec21-Loras
- DuskNewLora__Jan30
- EarthNewLora_Jan30
- Jan1_2024
- Jan_11_SD15
- Jan_18
- July 2024 Extracts
- Lycoris-Old-Backup
- May 2024
- Nov-22
- Nov29-Lora
- Oct_30_2023
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