Instructions to use dingusdoink/sketchplate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dingusdoink/sketchplate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dingusdoink/sketchplate") prompt = " \"masterpiece, highres, absurdres, newest, very awa, best quality, dungeons & dragons, original, 1girl, belt, black belt, black corset, black gloves, black hair, black pants, black sclera, breasts, cleavage, collarbone, collared shirt, colored sclera, colored skin, corset, cross, cross necklace, gloves, hands on own hips, jewelry, large breasts, long hair, long sleeves, looking at viewer, necklace, pants, parted lips, pointy ears, red shirt, shirt, simple background, smile, solo, teeth, upper body, white background, white skin, yellow eyes <lora:sketchplate_vpred:1> xqzt_sketchplate, chromatic aberration, partially colored, watercolor \\(medium\\), anaglyph\" " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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