Instructions to use Rand000mGuy/35mm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/35mm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/35mm") prompt = "ASCII\u0000\u0000\u0000gr@in35, candid nighttime photograph outside a small roadside convenience store, a weathered dark car parked beneath harsh fluorescent lights, one car door left open, a lone figure leaning against the car partially obscured by shadow, wet pavement reflecting saturated red and green light, deep murky shadows, awkward spontaneous framing, bright direct flash catching parts of the car and figure, empty black countryside beyond the parking lot, large simple white text reading \"GRAIN 35\" across the upper portion of the image, smaller text beneath reading \"35MM COLOR PHOTOGRAPHY\", imperfect printed lettering integrated naturally into the photograph, raw unpolished atmosphere" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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