Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use sageofai/sageofai-lora-kvasir-trained-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sageofai/sageofai-lora-kvasir-trained-improved 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("sageofai/sageofai-lora-kvasir-trained-improved") 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-8500/scheduler.bin from sageofai/sageofai-lora-kvasir-trained-improved: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/sageofai/sageofai-lora-kvasir-trained-improved/resolve/main/checkpoint-8500/scheduler.bin
- Command line
-
hf download hf://sageofai/sageofai-lora-kvasir-trained-improved/checkpoint-8500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/sageofai/sageofai-lora-kvasir-trained-improved/resolve/main/checkpoint-8500/scheduler.bin
1 kB
- Xet hash:
- 6481c595df95a6261130639c422175954e1426653fb73303c1997cb37536e258
- Size of remote file:
- 1 kB
- SHA256:
- 8ead5da04ab238eeae341b9600b3e65e22cb3f01f30d2890d8cd6eefaf5d7b72
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