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
| 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 | |
| <Gallery /> | |
| ## 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](/cboard-org/testfull/tree/main) them in the Files & versions tab. | |