Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use SimonJonsson1999/stable_diff_2_clothes_1280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimonJonsson1999/stable_diff_2_clothes_1280 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("SimonJonsson1999/stable_diff_2_clothes_1280") 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
- Xet hash:
- cc8c6df08099fd075b7a38b6bd5c0d68a2d5583328a0f3b68bc2f4c4a11f7fdb
- Size of remote file:
- 1 kB
- SHA256:
- 9d16ae9dedf4c45ceadc467593037d83423677715e75ab402a9f44aa81de9b84
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.