Instructions to use Thayselimacosta/Kodak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thayselimacosta/Kodak with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thayselimacosta/Kodak") prompt = "soft ambient light photograph of a ginger cat sitting on a pile of cozy blankets near a large window, overcast daylight coming through, natural light diffusion, shallow depth of field, slight grain effect for a vintage film look, visible fabric textures on the blankets, soft focus on the background, dreamy and atmospheric mood, taken with a 35mm lens, color grading in warm and muted tones, storytelling documentary style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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