Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use AaditD/rks-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AaditD/rks-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-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 image_0.png from AaditD/rks-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.19 MB
-
https://huggingface.co/AaditD/rks-diffusion/resolve/main/image_0.png
- Command line
-
hf download hf://AaditD/rks-diffusion/image_0.png
-
curl -L -o image_0.png https://huggingface.co/AaditD/rks-diffusion/resolve/main/image_0.png
1.19 MB

- Xet hash:
- 72fa7d93b6afb028a51d87ad74dbb859ea457e58e971ed8ee59cecdce1b00e4d
- Size of remote file:
- 1.19 MB
- SHA256:
- 237e72fe74fb0ec64290e63ea286a950651af800f74c432de7ed8d2c8c0d90ae
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