Instructions to use mrfakename/Krea2-Realism-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrfakename/Krea2-Realism-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrfakename/Krea2-Realism-diffusers", 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
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Download README.md from mrfakename/Krea2-Realism-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
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https://huggingface.co/mrfakename/Krea2-Realism-diffusers/resolve/main/README.md
- Command line
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hf download hf://mrfakename/Krea2-Realism-diffusers/README.md
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curl -L -o README.md https://huggingface.co/mrfakename/Krea2-Realism-diffusers/resolve/main/README.md
1.73 kB
| license: apache-2.0 | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| base_model: | |
| - RudySen/Krea2-Realism-Checkpoint | |
| tags: | |
| - krea2 | |
| - text-to-image | |
| # Krea2 Realism (diffusers transformer) | |
| A diffusers-format copy of the transformer from [RudySen/Krea2-Realism-Checkpoint](https://huggingface.co/RudySen/Krea2-Realism-Checkpoint) (`Krea2Realism_V1.safetensors`), a realism finetune of [Krea 2 Turbo](https://huggingface.co/krea/Krea-2-Turbo) by **RudySen**. All credit for the model goes to RudySen and Krea. | |
| The original FP8 ComfyUI file was dequantized (per-tensor `weight_scale`) to bfloat16 and renamed to the diffusers `Krea2Transformer2DModel` layout. No weights were retrained or merged. | |
| This repo only holds the transformer. Use the text encoder, tokenizer, VAE and scheduler from Krea 2 Turbo. | |
| ```python | |
| import torch | |
| from diffusers import Krea2Pipeline, Krea2Transformer2DModel | |
| transformer = Krea2Transformer2DModel.from_pretrained( | |
| "mrfakename/Krea2-Realism-diffusers", subfolder="transformer", torch_dtype=torch.bfloat16 | |
| ) | |
| pipe = Krea2Pipeline.from_pretrained( | |
| "krea/Krea-2-Turbo", transformer=transformer, torch_dtype=torch.bfloat16 | |
| ).to("cuda") | |
| image = pipe( | |
| "a candid street photo of an old man reading a newspaper at a cafe, soft morning light", | |
| height=1792, width=1152, num_inference_steps=6, guidance_scale=0.0, | |
| ).images[0] | |
| ``` | |
| Recommended settings from the original card: 6 steps (4 to 8), no CFG (`guidance_scale=0.0` in diffusers, CFG 1.0 in ComfyUI), about 2MP (for example 1152 × 1792). | |
| Use of the base model is also subject to the [Krea 2 Community License](https://krea.ai/krea-2-licensing) and the [Krea Acceptable Use Policy](https://www.krea.ai/krea-2-use-policy). | |