Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
lora
Instructions to use igorgoncharenko15/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorgoncharenko15/trained-sd3 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-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("igorgoncharenko15/trained-sd3") prompt = "A picture of sbercat looking straight" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| base_model: stabilityai/stable-diffusion-3-medium-diffusers | |
| library_name: diffusers | |
| license: openrail++ | |
| tags: | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - sd3 | |
| - sd3-diffusers | |
| - template:sd-lora | |
| - lora | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - sd3 | |
| - sd3-diffusers | |
| - template:sd-lora | |
| instance_prompt: a picture of sbercat | |
| widget: | |
| - text: A picture of sbercat looking straight | |
| output: | |
| url: image_0.png | |
| - text: A picture of sbercat looking straight | |
| output: | |
| url: image_1.png | |
| - text: A picture of sbercat looking straight | |
| output: | |
| url: image_2.png | |
| - text: A picture of sbercat looking straight | |
| output: | |
| url: image_3.png | |
| <!-- This model card has been generated automatically according to the information the training script had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # SD3 DreamBooth - igorgoncharenko15/trained-sd3 | |
| <Gallery /> | |
| ## Model description | |
| These are igorgoncharenko15/trained-sd3 DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers. | |
| The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md). | |
| Was the text encoder fine-tuned? False. | |
| ## Trigger words | |
| You should use `a picture of sbercat` to trigger the image generation. | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| ```py | |
| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| pipeline = AutoPipelineForText2Image.from_pretrained('igorgoncharenko15/trained-sd3', torch_dtype=torch.float16).to('cuda') | |
| image = pipeline('A picture of sbercat looking straight').images[0] | |
| ``` | |
| ## License | |
| Please adhere to the licensing terms as described `[here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE)`. | |
| ## Intended uses & limitations | |
| #### How to use | |
| ```python | |
| # 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] |