| license: other | |
| license_name: bespoke-lora-trained-license | |
| license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - migrated | |
| - celebrity | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| instance_prompt: d4z | |
| widget: | |
| - text: 'd4z' | |
| output: | |
| url: >- | |
| 42422550.jpeg | |
| # Dazman79 | |
| <Gallery /> | |
| ## Model description | |
| <p>Dazman79, d4z keyword</p> | |
| ## Trigger words | |
| You should use `d4z` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/brenry/dazman79/tree/main) them in the Files & versions tab. | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| ```py | |
| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to(device) | |
| pipeline.load_lora_weights('brenry/dazman79', weight_name='d4z.safetensors') | |
| image = pipeline('d4z').images[0] | |
| ``` | |
| For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) | |