| license: other | |
| license_name: bespoke-lora-trained-license | |
| license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - migrated | |
| - pencil | |
| - style | |
| - flux | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: pencileg | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 24958101.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 24958735.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 24956957.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 24956955.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 24956958.jpeg | |
| # Pencil Flux v1 | |
| <Gallery /> | |
| ## Model description | |
| <p>Retrained my pencil model with the new flux base</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div> | |
| ## Trigger words | |
| You should use `pencileg` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/brushpenbob/pencil-flux-v1/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 | |
| pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') | |
| pipeline.load_lora_weights('brushpenbob/pencil-flux-v1', weight_name='pencil.safetensors') | |
| image = pipeline('`pencileg`').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) | |