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:
- 306ae3e935b4ffd1284ae7540628c7c28ca6d6ff66778dab5adc1d66f3bb6dfe
- Size of remote file:
- 6.59 MB
- SHA256:
- 3e5df61c8dc3acd533f688a1eeb45b484693cc2ff7c666929b367ebf1c6bbb8f
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