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
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https://huggingface.co/rajkumaralma/Drawing/resolve/main/README.md
- Command line
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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
| 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 | |
| <Gallery /> | |
| ## 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](/rajkumaralma/Drawing/tree/main) them in the Files & versions tab. | |