Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use DavidWeinzierl/icon_style_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavidWeinzierl/icon_style_generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DavidWeinzierl/icon_style_generation", dtype=torch.bfloat16, device_map="cuda") prompt = "In the style of ICON" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("DavidWeinzierl/icon_style_generation", dtype=torch.bfloat16, device_map="cuda")
prompt = "In the style of ICON"
image = pipe(prompt).images[0]SDXL LoRA DreamBooth - DavidWeinzierl/icon_style_generation
Model description
These are DavidWeinzierl/icon_style_generation LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Trigger words
You should use In the style of ICON to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for DavidWeinzierl/icon_style_generation
Base model
stabilityai/stable-diffusion-xl-base-1.0