Instructions to use evnfed/oscfal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evnfed/oscfal 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("evnfed/oscfal") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add oscfal.safetensors
Browse files- oscfal.safetensors +3 -0
oscfal.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:84052fe0f8b4c7c74e7692708f9f8e5461b281b495d28750ce9a0a333917f74e
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size 89745224
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