Text-to-Image
Diffusers
Safetensors
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use RobertoNeglia/finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertoNeglia/finetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RobertoNeglia/finetune") prompt = "a photo of pepe the frog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 88f41da9f2ea557743acaa494ea9cce7e28a69def7e71d8726d648e527531225
- Size of remote file:
- 6.85 MB
- SHA256:
- 8a49690d7ae2a60b9387317f8b9f3e07a5661d55b92d60e17e2a933cc6c03e94
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