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 checkpoint-200/scheduler.bin from millan24/mi_concepto-sd: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/millan24/mi_concepto-sd/resolve/dd8a4aaf1ae45c242db9240fc4ddd62b53703a46/checkpoint-200/scheduler.bin
- Command line
-
hf download hf://millan24/mi_concepto-sd@dd8a4aaf1ae45c242db9240fc4ddd62b53703a46/checkpoint-200/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/millan24/mi_concepto-sd/resolve/dd8a4aaf1ae45c242db9240fc4ddd62b53703a46/checkpoint-200/scheduler.bin
1.4 kB
- Xet hash:
- 65372e1a1dd4b4f1a10da5a31b8d47610921cbf4d808ef311e8cab75660baa00
- Size of remote file:
- 1.4 kB
- SHA256:
- 6aa08c8f56f980f14ff2093a782557cf6b0b1d5cda0cb866d1500d2adc02e385
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