Instructions to use rajkumaralma/Drawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rajkumaralma/Drawing 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("rajkumaralma/Drawing") prompt = "J_illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from rajkumaralma/Drawing: direct link, hf CLI and curl.
- Browser
- Download file 553 Bytes
-
https://huggingface.co/rajkumaralma/Drawing/resolve/main/README.md
- Command line
-
hf download hf://rajkumaralma/Drawing/README.md
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curl -L -o README.md https://huggingface.co/rajkumaralma/Drawing/resolve/main/README.md
553 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: J_illustration
output:
url: images/image (43).webp
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: zavy-ctflt
license: mit
fine illustrate
.webp)
- Prompt
- J_illustration
Model description
Fine_illustrate
Trigger words
You should use zavy-ctflt to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.