Instructions to use hcickje/plswork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcickje/plswork 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("hcickje/plswork") prompt = "in the style of ilys" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from hcickje/plswork: direct link, hf CLI and curl.
- Browser
- Download file 555 Bytes
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https://huggingface.co/hcickje/plswork/resolve/main/README.md
- Command line
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hf download hf://hcickje/plswork/README.md
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curl -L -o README.md https://huggingface.co/hcickje/plswork/resolve/main/README.md
555 Bytes
| tags: | |
| - flux | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - fal | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: in the style of ilys | |
| 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 | |
| # flux lora illustration v1 | |
| <Gallery /> | |
| ## Model description | |
| ## Trigger words | |
| You should use `in the style of ilys` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| ## Training at fal.ai | |
| = |