Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Instructions to use LinAnnJose/Output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LinAnnJose/Output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/SSD-1B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LinAnnJose/Output") 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:
- ef3e5dbf9f4d1970efe01fe804dfd9bb36da5c9c5b8ca8d8d9a0e7d62b06b5ad
- Size of remote file:
- 1.33 MB
- SHA256:
- 89bb78af68489df3291730f055b4a1f31030d5417b115cb18a04a6326b433482
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