Instructions to use jayavibhav/arcane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayavibhav/arcane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jayavibhav/arcane") prompt = "A person in a bustling cafe in the style of Arcane" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from jayavibhav/arcane: direct link, hf CLI and curl.
- Browser
- Download file 1.71 kB
-
https://huggingface.co/jayavibhav/arcane/resolve/main/README.md
- Command line
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hf download hf://jayavibhav/arcane/README.md
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curl -L -o README.md https://huggingface.co/jayavibhav/arcane/resolve/main/README.md
1.71 kB
| tags: | |
| - text-to-image | |
| - flux | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - ai-toolkit | |
| widget: | |
| - text: A person in a bustling cafe in the style of Arcane | |
| output: | |
| url: samples/1731852008193__000002500_0.jpg | |
| - text: a woman with blue hair and a gun sitting near flowers | |
| output: | |
| url: samples/1731852113158__000002500_1.jpg | |
| - text: a woman with red hair looking at the sky filled with clouds | |
| output: | |
| url: samples/1731852217530__000002500_2.jpg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: in the style of Arcane | |
| license: other | |
| license_name: flux-1-dev-non-commercial-license | |
| license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md | |
| # arcane | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `in the style of Arcane` to trigger the image generation. | |
| ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. | |
| Weights for this model are available in Safetensors format. | |
| [Download](/jayavibhav/arcane/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.bfloat16).to('cuda') | |
| pipeline.load_lora_weights('jayavibhav/arcane', weight_name='arcane') | |
| image = pipeline('A person in a bustling cafe in the style of Arcane').images[0] | |
| image.save("my_image.png") | |
| ``` | |
| 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) | |