Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use AaditD/rks-lora-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AaditD/rks-lora-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AaditD/rks-lora-diffusion") 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-5000/optimizer.bin from AaditD/rks-lora-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.53 MB
-
https://huggingface.co/AaditD/rks-lora-diffusion/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://AaditD/rks-lora-diffusion/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/AaditD/rks-lora-diffusion/resolve/main/checkpoint-5000/optimizer.bin
3.53 MB
- Xet hash:
- 76289d246457ee753d9937d3efcb790d3a5b23814127e84727aa8ec7b3e7e40d
- Size of remote file:
- 3.53 MB
- SHA256:
- 296c0e843639c48d811c0bf6d1eb6a62035439dff57ec2fd0ef4a23583973cbf
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