Instructions to use srmahapatra95/Diffusion-Model-Training-Beginner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use srmahapatra95/Diffusion-Model-Training-Beginner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("srmahapatra95/Diffusion-Model-Training-Beginner", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Diffusion-Model-Training-Beginner / models /stable_diffusion_training /text_encoder /model.safetensors
- Xet hash:
- 44c6e68a8ef5c43eef20c0328936d03b5479ab417c95618b2502ff50e3217454
- Size of remote file:
- 681 MB
- SHA256:
- 92ed72406d21f8c50c88a4fe33d880a540e40d50a5356dcac892c824fee07254
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