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
Download image_0.png from millan24/mi_concepto-sd: direct link, hf CLI and curl.
- Browser
- Download file 456 kB
-
https://huggingface.co/millan24/mi_concepto-sd/resolve/main/image_0.png
- Command line
-
hf download hf://millan24/mi_concepto-sd/image_0.png
-
curl -L -o image_0.png https://huggingface.co/millan24/mi_concepto-sd/resolve/main/image_0.png
456 kB

- Xet hash:
- bba9548fdd4d411d6a8cb7747ef9f47ed38ee8e4c3091eb07c2c536148052da4
- Size of remote file:
- 456 kB
- SHA256:
- a9b7220def1ac3336f3ba1d0f1fe27f828372c2a4d0d564b29fb88584a1e57d0
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