Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use imann63/trained_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imann63/trained_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imann63/trained_models", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a special powerline station" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3cb9d7815bab87ec7cdea48e61886f7f9d7f12b02b715ab560d1baad3cfc1d9f
- Size of remote file:
- 1.73 GB
- SHA256:
- 552e471d25804bd35151a854a875b8545c10a2eabe71d0d4278ecd35e6af658c
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