Instructions to use stillerman/poke-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stillerman/poke-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stillerman/poke-lora") 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
| # Copyright 2023 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from ..utils import ( | |
| OptionalDependencyNotAvailable, | |
| is_flax_available, | |
| is_scipy_available, | |
| is_torch_available, | |
| is_torchsde_available, | |
| ) | |
| try: | |
| if not is_torch_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ..utils.dummy_pt_objects import * # noqa F403 | |
| else: | |
| from .scheduling_consistency_models import CMStochasticIterativeScheduler | |
| from .scheduling_ddim import DDIMScheduler | |
| from .scheduling_ddim_inverse import DDIMInverseScheduler | |
| from .scheduling_ddim_parallel import DDIMParallelScheduler | |
| from .scheduling_ddpm import DDPMScheduler | |
| from .scheduling_ddpm_parallel import DDPMParallelScheduler | |
| from .scheduling_deis_multistep import DEISMultistepScheduler | |
| from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler | |
| from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler | |
| from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler | |
| from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler | |
| from .scheduling_euler_discrete import EulerDiscreteScheduler | |
| from .scheduling_heun_discrete import HeunDiscreteScheduler | |
| from .scheduling_ipndm import IPNDMScheduler | |
| from .scheduling_k_dpm_2_ancestral_discrete import KDPM2AncestralDiscreteScheduler | |
| from .scheduling_k_dpm_2_discrete import KDPM2DiscreteScheduler | |
| from .scheduling_karras_ve import KarrasVeScheduler | |
| from .scheduling_pndm import PNDMScheduler | |
| from .scheduling_repaint import RePaintScheduler | |
| from .scheduling_sde_ve import ScoreSdeVeScheduler | |
| from .scheduling_sde_vp import ScoreSdeVpScheduler | |
| from .scheduling_unclip import UnCLIPScheduler | |
| from .scheduling_unipc_multistep import UniPCMultistepScheduler | |
| from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin | |
| from .scheduling_vq_diffusion import VQDiffusionScheduler | |
| try: | |
| if not is_flax_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ..utils.dummy_flax_objects import * # noqa F403 | |
| else: | |
| from .scheduling_ddim_flax import FlaxDDIMScheduler | |
| from .scheduling_ddpm_flax import FlaxDDPMScheduler | |
| from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler | |
| from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler | |
| from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler | |
| from .scheduling_pndm_flax import FlaxPNDMScheduler | |
| from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler | |
| from .scheduling_utils_flax import ( | |
| FlaxKarrasDiffusionSchedulers, | |
| FlaxSchedulerMixin, | |
| FlaxSchedulerOutput, | |
| broadcast_to_shape_from_left, | |
| ) | |
| try: | |
| if not (is_torch_available() and is_scipy_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ..utils.dummy_torch_and_scipy_objects import * # noqa F403 | |
| else: | |
| from .scheduling_lms_discrete import LMSDiscreteScheduler | |
| try: | |
| if not (is_torch_available() and is_torchsde_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ..utils.dummy_torch_and_torchsde_objects import * # noqa F403 | |
| else: | |
| from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler | |