Image-to-Image
Diffusers
Safetensors
image-editing
pixel-art
sprite-sheet
animation
rgba
transparent-background
lora
Instructions to use irotem98/Codex-Pets-Sprite-Sheet-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use irotem98/Codex-Pets-Sprite-Sheet-Generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Edit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("irotem98/Codex-Pets-Sprite-Sheet-Generator") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download vae/config.json from irotem98/Codex-Pets-Sprite-Sheet-Generator: direct link, hf CLI and curl.
- Browser
- Download file 823 Bytes
-
https://huggingface.co/irotem98/Codex-Pets-Sprite-Sheet-Generator/resolve/main/vae/config.json
- Command line
-
hf download hf://irotem98/Codex-Pets-Sprite-Sheet-Generator/vae/config.json
-
curl -L -o config.json https://huggingface.co/irotem98/Codex-Pets-Sprite-Sheet-Generator/resolve/main/vae/config.json
823 Bytes
| { | |
| "_class_name": "AutoencoderKL", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "_name_or_path": "Boogu/Boogu-Image-0.1-Edit", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 4, | |
| "latent_channels": 16, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "layers_per_block": 2, | |
| "mid_block_add_attention": true, | |
| "norm_num_groups": 32, | |
| "out_channels": 4, | |
| "sample_size": 1024, | |
| "scaling_factor": 0.3611, | |
| "shift_factor": 0.1159, | |
| "up_block_types": [ | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D" | |
| ], | |
| "use_post_quant_conv": false, | |
| "use_quant_conv": false | |
| } | |