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", torch_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
- Xet hash:
- 31e1826ceace3d42c2f479e494c443b5ccbaad1aff7a20ba6dbd0d019589691a
- Size of remote file:
- 3.53 MB
- SHA256:
- 82221ffd481ff7d0c97f523ae92b59cf74c068c543120596f557ccc551cc4794
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