Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use millan24/mi_concepto-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use millan24/mi_concepto-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("millan24/mi_concepto-sd") prompt = "a photo of sks person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1a9212ff940a6ace0c89cb840e86fb874dc3e22594dd2a4d1d48266ac78db3c2
- Size of remote file:
- 6.59 MB
- SHA256:
- f7e91423343ac42ec79d1c036cff7ce82dd77fc0f7dcbe5f9243ff264d07b38b
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