Instructions to use Avener/WildCapture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/WildCapture 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("Avener/WildCapture") prompt = "A pack of wild wolves hunting in a snowy forest at sunset, capturing their primal instincts in action, close-up shot, dramatic lighting highlighting their power and agility, intense atmosphere, high definition." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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WildCapture AI - v6.4.8_v1.0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c7c893391dcc58e6aab528c20bfef32fe1495249dc736e8b6c39a3f4abf21a0
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size 306426864
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images/1000003447.png
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Git LFS Details
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