Instructions to use kimi000/silver-orbit-62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/silver-orbit-62 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/silver-orbit-62", 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
| { | |
| "base_smoke_image": "smoke_base_512.png", | |
| "global_step": 600, | |
| "lora_merge": { | |
| "adapter_names": [ | |
| "default" | |
| ], | |
| "changed_element_count": 2458964970, | |
| "changed_tensor_count": 60, | |
| "lora_pair_count": 60, | |
| "max_abs_delta": 0.01190185546875 | |
| }, | |
| "offline_reload": true, | |
| "scheduler": { | |
| "num_train_timesteps": 1000, | |
| "stochastic_sampling": false, | |
| "use_dynamic_shifting": true | |
| }, | |
| "smoke_guidance_scale": 4.0, | |
| "smoke_image": "smoke_512.png", | |
| "smoke_image_delta_from_base": { | |
| "changed_channel_values": 780663, | |
| "max_abs_channel_delta": 252, | |
| "mean_abs_channel_delta": 41.159305572509766 | |
| }, | |
| "smoke_image_size": [ | |
| 512, | |
| 512 | |
| ], | |
| "smoke_seed": 0, | |
| "smoke_steps": 4, | |
| "strict_transformer_load": true, | |
| "transformer_delta_from_base_after_reload": { | |
| "changed_element_count": 2458964970, | |
| "changed_tensor_count": 60, | |
| "changed_tensor_examples": [ | |
| "single_transformer_blocks.0.attn.to_out.weight", | |
| "single_transformer_blocks.0.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.1.attn.to_out.weight", | |
| "single_transformer_blocks.1.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.10.attn.to_out.weight", | |
| "single_transformer_blocks.10.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.11.attn.to_out.weight", | |
| "single_transformer_blocks.11.attn.to_qkv_mlp_proj.weight" | |
| ], | |
| "l2_delta": 34.5114768744619, | |
| "max_abs_delta": 0.01190185546875 | |
| }, | |
| "transformer_delta_from_base_before_save": { | |
| "changed_element_count": 2458964970, | |
| "changed_tensor_count": 60, | |
| "changed_tensor_examples": [ | |
| "single_transformer_blocks.0.attn.to_out.weight", | |
| "single_transformer_blocks.0.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.1.attn.to_out.weight", | |
| "single_transformer_blocks.1.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.10.attn.to_out.weight", | |
| "single_transformer_blocks.10.attn.to_qkv_mlp_proj.weight", | |
| "single_transformer_blocks.11.attn.to_out.weight", | |
| "single_transformer_blocks.11.attn.to_qkv_mlp_proj.weight" | |
| ], | |
| "l2_delta": 34.5114768744619, | |
| "max_abs_delta": 0.01190185546875 | |
| } | |
| } | |