Instructions to use cboard-org/testfull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cboard-org/testfull 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("cboard-org/testfull") prompt = "a pictogram of a horse in mars riding a bike, (vectorized, drawing, simplified, rounded face, digital art, icon)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
a pictogram of a horse in mars riding a bike, (vectorized, drawing,
simplified, rounded face, digital art, icon)
parameters:
negative_prompt: >-
(words, letters, text, numbers, symbols), (details, open traces, sharp
corners, distorted proportion), (lip, nose, tooth, rouge, wrinkles,
detailed face, deformed body, extra limbs)
output:
url: images/00000-336658317.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: picto
license: mit
fullpicto

- Prompt
- a pictogram of a horse in mars riding a bike, (vectorized, drawing, simplified, rounded face, digital art, icon)
- Negative Prompt
- (words, letters, text, numbers, symbols), (details, open traces, sharp corners, distorted proportion), (lip, nose, tooth, rouge, wrinkles, detailed face, deformed body, extra limbs)
Model description
test
Trigger words
You should use picto to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.