Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use pribadihcr/DsPCBSD_CS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pribadihcr/DsPCBSD_CS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pribadihcr/DsPCBSD_CS") prompt = "a photo of cs pcb" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0e49421caf6df00ac7b9323a658a3cd708f18e9a47f80e670e556a19a33ba294
- Size of remote file:
- 47.4 MB
- SHA256:
- df9155c1a3144dd062ca9488761de9977c977b18031580547b56af92ba73bfe1
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