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 model_index.json from kimi000/opal-brook-69: direct link, hf CLI and curl.
- Browser
- Download file 665 Bytes
-
https://huggingface.co/kimi000/opal-brook-69/resolve/main/model_index.json
- Command line
-
hf download hf://kimi000/opal-brook-69/model_index.json
-
curl -L -o model_index.json https://huggingface.co/kimi000/opal-brook-69/resolve/main/model_index.json
665 Bytes
| { | |
| "_class_name": "Flux2KleinPipeline", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "_name_or_path": "/lustre/fsw/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-base-4B/snapshots/a3b4f4849157f664bdbc776fd7453c2783562f4d", | |
| "is_distilled": false, | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3ForCausalLM" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "Flux2Transformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ] | |
| } | |