Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use Trkkk/fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Trkkk/fine_tuned_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Trkkk/fine_tuned_model", 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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from Trkkk/fine_tuned_model: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/Trkkk/fine_tuned_model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Trkkk/fine_tuned_model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Trkkk/fine_tuned_model/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- c66f6f5789c2530faaa2660a307c91db7eeab4da755bfbff79b403cbda6d9b7c
- Size of remote file:
- 6.88 GB
- SHA256:
- e2bb0f4a9a52e5d7cdc6fdaab57ceececaea96cd9ed327b31b45f3fc1a0d200d
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