Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use BenTimor/bentimor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BenTimor/bentimor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BenTimor/bentimor") prompt = "bt person" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from BenTimor/bentimor: direct link, hf CLI and curl.
- Browser
- Download file 15.1 MB
-
https://huggingface.co/BenTimor/bentimor/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://BenTimor/bentimor/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/BenTimor/bentimor/resolve/main/checkpoint-500/optimizer.bin
15.1 MB
- Xet hash:
- 256d8640b5d870f8ffd1be03306548f0efb12def63b47272542e853537f988a3
- Size of remote file:
- 15.1 MB
- SHA256:
- 774b4895f8f1be7a1b7855c7aa0973297489ffd837278806952c3533d3a51102
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