Instructions to use personal1802/2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/2") prompt = "d" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from personal1802/2: direct link, hf CLI and curl.
- Browser
- Download file 466 Bytes
-
https://huggingface.co/personal1802/2/resolve/main/README.md
- Command line
-
hf download hf://personal1802/2/README.md
-
curl -L -o README.md https://huggingface.co/personal1802/2/resolve/main/README.md
466 Bytes
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: d
parameters:
negative_prompt: d
output:
url: images/kakarot_10.30_2.8D.jpeg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
kakarot28D_v10

- Prompt
- d
- Negative Prompt
- d
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.