Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use joheras/trained-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joheras/trained-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joheras/trained-stable-diffusion") prompt = "a photo of jonathan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-300/optimizer.bin from joheras/trained-stable-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/joheras/trained-stable-diffusion/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://joheras/trained-stable-diffusion/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/joheras/trained-stable-diffusion/resolve/main/checkpoint-300/optimizer.bin
6.59 MB
- Xet hash:
- a79d08cb6a306685d5d9e92fdb4f952c65fc1fc4c3f081ad9663037241003060
- Size of remote file:
- 6.59 MB
- SHA256:
- 80b20afb95321a92327c73005035eba3676d9f7c20e3ceeb2ce1c2541071a248
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