Instructions to use kimi000/opal-brook-69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/opal-brook-69 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/opal-brook-69", 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 provenance.json from kimi000/opal-brook-69: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/kimi000/opal-brook-69/resolve/main/provenance.json
- Command line
-
hf download hf://kimi000/opal-brook-69/provenance.json
-
curl -L -o provenance.json https://huggingface.co/kimi000/opal-brook-69/resolve/main/provenance.json
5.69 kB
| { | |
| "label": "Version Base v0.2 Codex Alpha39+MultiBench60 99-family Step 500 EMA", | |
| "family_count": 99, | |
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| "multi::aesthetic_quality_hpsv3pp::crafted_objects_and_surfaces", | |
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| "multi::longtext_en::promotional_posters", | |
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| "multi::oneig_en::stylized_visuals", | |
| "multi::oneig_en::text_layouts", | |
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| "source_checkpoint": "/home/hcai/workspace/code/junyiwu/FAR-RL-agentic-online-prompt-curriculum-clean/experiments/flux2_klein_base_4b_diffusionnft_dvreward_version_base_v0_2_alpha39_multibench60_100pct_16prompts_group14_7train_1dvreward_tp1_2node_512px_20step_cfg4_cw_1005iter/runs/vb-v02-codex-isolated-lifecycle-20260913/code/experiments/flux2_klein_base_4b_diffusionnft_dvreward_version_base_v0_2_alpha39_multibench60_100pct_16prompts_group14_7train_1dvreward_tp1_2node_512px_20step_cfg4_cw_1005iter/models/step_500.pt", | |
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| "note": "100pct is a target, not a measured online-authored fraction." | |
| } | |