Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use Exc3ss/akshay_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Exc3ss/akshay_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Exc3ss/akshay_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of Akshay Kumar" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from Exc3ss/akshay_model: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/Exc3ss/akshay_model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Exc3ss/akshay_model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Exc3ss/akshay_model/resolve/main/checkpoint-500/optimizer.bin
1.73 GB
- Xet hash:
- d6b948f94cc60284f27777a4948d434609cde120c29b17ba95836de56d889496
- Size of remote file:
- 1.73 GB
- SHA256:
- b561e817262f8c7ed4621191e09c59c487c5936e61289cfe1b87881df501a1fc
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