Instructions to use kimi000/maple-dawn-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/maple-dawn-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kimi000/maple-dawn-64", 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 verification.json from kimi000/maple-dawn-64: direct link, hf CLI and curl.
- Browser
- Download file 853 Bytes
-
https://huggingface.co/kimi000/maple-dawn-64/resolve/main/verification.json
- Command line
-
hf download hf://kimi000/maple-dawn-64/verification.json
-
curl -L -o verification.json https://huggingface.co/kimi000/maple-dawn-64/resolve/main/verification.json
853 Bytes
| { | |
| "offline_reload": true, | |
| "strict_transformer_load": true, | |
| "merged_checkpoint_exact_match": true, | |
| "transformer_delta_from_base_after_reload": { | |
| "changed_tensor_count": 241, | |
| "changed_element_count": 185762877, | |
| "max_abs_delta": 0.0087890625, | |
| "l2_delta": 1.9636055800931198, | |
| "changed_tensor_examples": [ | |
| "all_final_layer.2-1.adaLN_modulation.1.weight", | |
| "all_final_layer.2-1.linear.weight", | |
| "all_x_embedder.2-1.weight", | |
| "context_refiner.0.attention.to_k.weight", | |
| "context_refiner.0.attention.to_out.0.weight", | |
| "context_refiner.0.attention.to_q.weight", | |
| "context_refiner.0.attention.to_v.weight", | |
| "context_refiner.0.feed_forward.w1.weight" | |
| ] | |
| }, | |
| "smoke": { | |
| "height": 512, | |
| "width": 512, | |
| "steps": 20, | |
| "cfg": 4, | |
| "seed": 0, | |
| "differs_from_base": true | |
| } | |
| } |